US 10624575

Here's a concise summary of US Patent 10624575:

• Title: Monitoring sleep using microactivity states
• Assignee: Zepp North America Inc.; Anhui Huami Health Technology Co., Ltd.
• Inventors: Feifei Zhang; Xiaoming Ren
• Filing Date: 2017-04-26
• Issue Date: 2020-04-21
• Abstract: A method, a wearable device, and an apparatus for monitoring sleep of a user are provided. The method includes determining an activity amount of a user based on multi-axial acceleration data received by the wearable device in a time period, where the multi-axial acceleration data includes acceleration data in multiple axes. If the activity amount is smaller than a first threshold, a microactivity feature value is determined using the multi-axial acceleration data and predetermined weights. Finally, a microactivity state for the user in the time period is determined based on this microactivity feature value, where the user's activity amount is substantially zero in the microactivity state.

Plain-Language Overview of Independent Claims:

• Independent Claim 1: This claim describes a method for monitoring a user's sleep using a wearable device. It involves several key steps:
  1. Determine Activity Amount: The method first calculates the user's activity level from multi-axial acceleration data collected by the wearable device over a specific time period. This calculation is detailed and includes:
     • Obtaining an initial "first distance vector" (M1 elements) from the acceleration data.
     • Creating "second distance vectors" by rotating the elements of the first distance vector (shifting elements from the beginning to the end).
     • Generating "third distance vectors" by extracting a subset (M2 elements, where M2 < M1) from both the first and second distance vectors.
     • Using these third distance vectors to produce an "activity vector" (AV) with M values.
     • Calculating the final "activity amount" by summing the values in the activity vector, squaring the sum, and dividing by two.
  2. Determine Microactivity Feature Value: If the calculated activity amount is below a predefined "first threshold" (indicating minimal movement), the method then determines a "microactivity feature value." This value is derived from the multi-axial acceleration data and a set of "predetermined weights."
  3. Determine Microactivity State: Finally, based on this microactivity feature value, the method identifies a "microactivity state" for the user during that time period. This microactivity state is characterized by the user's activity amount being essentially zero.

There are no other independent claims provided in the furnished patent text.Here's a concise summary of US Patent 10624575:

• Title: Monitoring sleep using microactivity states
• Assignee: Zepp North America Inc.; Anhui Huami Health Technology Co., Ltd.
• Inventors: Feifei Zhang; Xiaoming Ren
• Filing Date: 2017-04-26
• Issue Date: 2020-04-21
• Abstract: A method, a wearable device, and an apparatus for monitoring sleep of a user are provided. The method includes determining an activity amount of a user based on multi-axial acceleration data received by the wearable device in a time period, where the multi-axial acceleration data includes acceleration data in multiple axes. If the activity amount is smaller than a first threshold, a microactivity feature value is determined using the multi-axial acceleration data and predetermined weights. Finally, a microactivity state for the user in the time period is determined based on this microactivity feature value, where the user's activity amount is substantially zero in the microactivity state.

Plain-Language Overview of Independent Claims:

• Independent Claim 1: This claim describes a method for monitoring a user's sleep using a wearable device. It involves several key steps:
  1. Determine Activity Amount: The method first calculates the user's activity level from multi-axial acceleration data collected by the wearable device over a specific time period. This calculation is detailed and includes:
     • Obtaining an initial "first distance vector" (with a size M1) from the multi-axial acceleration data.
     • Creating "second distance vectors" by performing a "rotation" operation on the elements of the first distance vector, effectively shifting elements from the beginning to the end. Each second distance vector also has the size M1.
     • Generating "third distance vectors" by extracting a specified number of initial elements (M2 elements, where M2 is a positive number less than M1) from both the original first distance vector and each of the second distance vectors.
     • Using these third distance vectors to produce an "activity vector" (AV) with M values.
     • Calculating the final "activity amount" by summing the values in the activity vector, squaring that sum, and then dividing by two.
  2. Determine Microactivity Feature Value: If the calculated activity amount is below a predefined "first threshold" (indicating minimal movement), the method then determines a "microactivity feature value." This value is derived from the multi-axial acceleration data and a set of "predetermined weights."
  3. Determine Microactivity State: Finally, based on this microactivity feature value, the method identifies a "microactivity state" for the user during that time period. This microactivity state is characterized by the user's activity amount being essentially zero.

No other independent claims are explicitly provided in the furnished patent text.

Regarding USPTO and CAFC dockets for 10624575, the patent is currently "Active" and expires on 2037-09-08. There is a "US case filed in Texas Eastern District Court" listed with case number 2:26-cv-00316. This indicates ongoing litigation at the District Court level. As of April 26, 2026, there is no direct indication from the provided information or general search results of this specific patent being on appeal at the U.S. Court of Appeals for the Federal Circuit (CAFC) for the year 2026. The CAFC primarily handles appeals from district court decisions, so a case would typically need to proceed through the district court before reaching the CAFC.Here's a concise summary of US Patent 10624575:

• Title: Monitoring sleep using microactivity states
• Assignee: Zepp North America Inc.; Anhui Huami Health Technology Co., Ltd.
• Inventors: Feifei Zhang; Xiaoming Ren
• Filing Date: 2017-04-26
• Issue Date: 2020-04-21
• Abstract: A method, a wearable device, and an apparatus for monitoring sleep of a user are provided. The method includes determining an activity amount of a user based on multi-axial acceleration data received by the wearable device in a time period, where the multi-axial acceleration data includes acceleration data in multiple axes. If the activity amount is smaller than a first threshold, a microactivity feature value is determined using the multi-axial acceleration data and predetermined weights. Finally, a microactivity state for the user in the time period is determined based on this microactivity feature value, where the user's activity amount is substantially zero in the microactivity state.

Plain-Language Overview of Independent Claims:

• Independent Claim 1: This claim describes a method for monitoring a user's sleep using a wearable device. It involves several key steps:
  1. Determine Activity Amount: The method first calculates the user's activity level from multi-axial acceleration data collected by the wearable device over a specific time period. This calculation is detailed and includes:
     • Obtaining an initial "first distance vector" (with a size M1) from the multi-axial acceleration data.
     • Creating "second distance vectors" by performing a "rotation" operation on the elements of the first distance vector, effectively shifting elements from the beginning to the end. Each second distance vector also has the size M1.
     • Generating "third distance vectors" by extracting a specified number of initial elements (M2 elements, where M2 is a positive number less than M1) from both the original first distance vector and each of the second distance vectors.
     • Using these third distance vectors to produce an "activity vector" (AV) with M values.
     • Calculating the final "activity amount" by summing the values in the activity vector, squaring that sum, and then dividing by two.
  2. Determine Microactivity Feature Value: If the calculated activity amount is below a predefined "first threshold" (indicating minimal movement), the method then determines a "microactivity feature value." This value is derived from the multi-axial acceleration data and a set of "predetermined weights."
  3. Determine Microactivity State: Finally, based on this microactivity feature value, the method identifies a "microactivity state" for the user during that time period. This microactivity state is characterized by the user's activity amount being essentially zero.

No other independent claims are explicitly provided in the furnished patent text.

Regarding USPTO and CAFC dockets for 10624575, the patent is currently "Active" and expires on 2037-09-08. There is a "US case filed in Texas Eastern District Court" listed with case number 2:26-cv-00316. This indicates ongoing litigation at the District Court level. As of April 26, 2026, there is no direct indication from the provided information or general search results of this specific patent being on appeal at the U.S. Court of Appeals for the Federal Circuit (CAFC) for the year 2026. The CAFC primarily handles appeals from district court decisions, so a case would typically need to proceed through the district court before reaching the CAFC.

As of April 26, 2026, one known litigation case involving US patent 10624575 has been identified:

• Plaintiff(s): Zepp Inc. et al (including Zepp North America Inc.)
• Defendant(s): Oura Health Oy
• Jurisdiction: Eastern District of Texas
• Case Number: 2:26-cv-00316
• Filing Date: April 21, 2026
• Outcome or Current Status: The case is currently pending, having been filed very recently on April 21, 2026.

Proceedings overview

There are no AIA trial proceedings on file for US Patent 10,624,575. This indicates that the patent has not yet faced any challenges in post-grant proceedings at the USPTO. For a defendant, this means the patent's claims are entirely untested in an AIA trial setting, and all claims are currently presumed valid.

Strategic summary

As of today, 2026-05-31, all claims of US10624575 remain untested by any AIA trial proceedings. There are no canceled, sustained, or untested claims to report from PTAB trials. The estoppel landscape is entirely open, as no petitioner has challenged the patent, meaning all prior-art grounds are still available for a potential future petitioner. There are no pattern signals to discern regarding multiple IPRs, aggressive PTAB appeals by the patent owner, or involvement of defensive aggregators.

Recommended next steps

As there is no PTAB activity on file for US10624575, a potential defendant has a full range of options should they decide to challenge the patent. The absence of any PTAB challenges might suggest that the patent has not been extensively asserted, or that prior assertions have not prompted IPR filings. However, well-asserted patents often eventually attract IPRs. Therefore, a thorough prior art search would be a crucial first step to evaluate the patent's vulnerability to an IPR or PGR challenge.

Inventors

• Feifei Zhang: Anhui Huami Information Technology Co., Ltd.
• Xiaoming Ren: Anhui Huami Information Technology Co., Ltd.

It is common for employee-inventors to assign their patent rights to their employer, especially if they were hired to invent or used company resources. Both inventors were employed by Anhui Huami Information Technology Co., Ltd. at the time of filing.

Original assignee

The original assignee named on the issued patent is Anhui Huami Information Technology Co., Ltd.

Anhui Huami Information Technology Co., Ltd. is a Chinese company primarily engaged in the development, manufacturing, and selling of smart, wearable technological devices. This includes smartwatches and fitness bands, often under the Amazfit and Zepp brands. The company has a significant global presence, shipping over 200 million units to more than 90 countries.

Anhui Huami Information Technology Co., Ltd. is a variable interest entity (VIE) of Zepp Health Corporation (formerly Huami Corporation), which was incorporated in the Cayman Islands in December 2014. Zepp Health Corporation is a publicly traded company on the NYSE (ZEPP). Therefore, Anhui Huami Information Technology Co., Ltd. is currently operating as part of Zepp Health Corporation.

Assignment timeline

The USPTO Assignment Center was searched for patent number US10624575.

• 2017-04-26 (executed) / recorded 2017-04-26 - Reel 039603/0503
  • Conveyance: Assignment
  • Assignor: REN, XIAOMING; ZHANG, FEIFEI
  • Assignee: ANHUI HUAMI INFORMATION TECHNOLOGY CO.,LTD.
  • Correspondent: LI, JINLING, ANHUI HUAMI INFORMATION TECHNOLOGY CO.,LTD., FLOOR 21, BLOCK B, WANLI PLAZA, NO.68 WANGJIANG WEST ROAD, HEFEI, CHINA
  • Context: Inventors assigning rights to their employer.
• 2025-02-20 (executed) / recorded 2025-02-20 - Reel 062770/0670
  • Conveyance: Assignment
  • Assignor: ANHUI HUAMI INFORMATION TECHNOLOGY CO., LTD.
  • Assignee: ANHUI HUAMI HEALTH TECHNOLOGY CO., LTD.
  • Correspondent: ANHUI HUAMI HEALTH TECHNOLOGY CO., LTD., FLOOR 7, BLOCK B2, HUAMI GLOBAL INNOVATION CENTER, NO.900 WANGJIANG WEST ROAD, HEFEI, CHINA
  • Context: Internal corporate restructuring/transfer between related entities (Anhui Huami Information Technology Co., Ltd. is a VIE of Zepp Health, which also includes Anhui Huami Health Technology Co., Ltd.).
• 2026-04-10 (executed) / recorded 2026-04-10 - Reel 064434/0995
  • Conveyance: Assignment
  • Assignor: ANHUI HUAMI HEALTH TECHNOLOGY CO., LTD.
  • Assignee: ZEPP NORTH AMERICA, INC.
  • Correspondent: ZEPP NORTH AMERICA, INC., 1551 MCCARTHY BLVD, MILPITAS, CA 95035, UNITED STATES
  • Context: Internal corporate restructuring/transfer to a US subsidiary of Zepp Health Corporation.

Timeline diagram

timeline
    title Ownership of US 10624575
    2015 : Priority Date
    2017 : Filed; Inventors assigned to Anhui Huami Info Tech Co., Ltd.
    2020 : Patent Issued
    2025 : Assigned to Anhui Huami Health Tech Co., Ltd.
    2026 : Assigned to Zepp North America Inc.

NPE / troll-pattern signals

1. Shell-entity transfer — Not present. The transfers appear to be between related operating entities within the Zepp Health Corporation structure, which develops and sells smart wearables.
2. Known asserter in the chain — Not present. None of the assignees (Anhui Huami Information Technology Co., Ltd., Anhui Huami Health Technology Co., Ltd., Zepp North America, Inc.) are identified as known patent assertion entities (NPEs) in public directories.
3. Repeat correspondent across the chain — Not present. There are different correspondents listed for each assignment in the chain, corresponding to the different entities involved in the transfers. (Reel 039603/0503: LI, JINLING, ANHUI HUAMI INFORMATION TECHNOLOGY CO.,LTD.; Reel 062770/0670: ANHUI HUAMI HEALTH TECHNOLOGY CO., LTD.; Reel 064434/0995: ZEPP NORTH AMERICA, INC.)
4. Cascading transfers — Not present. The assignments are spaced out by several years (2017 to 2025, and 2025 to 2026).
5. Pre-litigation transfer — Unclear. While Zepp has filed litigation against Ouraring Inc. in April 2026, it is unclear if US10624575 is among the patents asserted in that litigation. The last assignment to Zepp North America, Inc. was recorded on 2026-04-10 (Reel 064434/0995). If this patent is part of the Ouraring suit, this would be a pre-litigation transfer, as the suit was filed in April 2026, the same month as the assignment.
6. Bankruptcy fire-sale — Not present. The original assignee and subsequent assignees are part of Zepp Health Corporation, an operating company that is publicly traded and actively developing products. There is no indication of bankruptcy.
7. Privateering — Not present. There is no evidence to suggest that Zepp Health Corporation is using an NPE to assert patents on its behalf. All transfers appear to be within the corporate family.
8. Defensive aggregator (anti-NPE) — Not present. The current assignee, Zepp North America, Inc., is an operating company, not a defensive aggregator.

Verdict

Operating-company assertion
The patent chain clearly indicates transfers between related operating entities of Zepp Health Corporation (formerly Huami Corporation), a global smart wearable and health technology leader. The current assignee, Zepp North America, Inc., is a subsidiary of this operating company, which develops and sells products embodying the claims. While the potential pre-litigation transfer to Zepp North America, Inc. for a lawsuit filed in April 2026 (Reel 064434/0995) could be a tactical move, it is within the context of an operating company asserting its own patents, not a transfer to a shell entity.

USPTO Assignment Center search: https://assignmentcenter.uspto.gov/

To identify the most relevant prior art for US Patent 10,624,575, I need to access the cited references within the patent itself. Since I cannot directly "search the USPTO database" in real-time or pull up a live document with all its forward and backward citations, I will rely on the provided patent text. The patent text typically includes a "References Cited" section, or these citations are embedded within the "Description" or "Background" sections.

After reviewing the provided full patent text for US10624575, there is no explicit "References Cited" section listing prior art patents or publications. The patent only mentions its priority claims to "International Application No. PCT/CN2016/109624, filed on Dec. 13, 2016, which claims priority to Chinese Patent Application No. 201510939058.7, filed on Dec. 14, 2015". These are not prior art in the sense of anticipating claims under 35 U.S.C. § 102, but rather a chain of related applications for the same invention.

Therefore, based only on the provided patent text, I cannot identify specific prior art patents or publications that were cited by the examiner or applicant. To do so would require access to the official USPTO file wrapper or a database that provides citation information for US10624575.

If I had access to a live USPTO database, I would search for "US10624575" and then look for the "Cited References" or "Prior Art" section associated with that patent. Without that, I cannot fulfill the request to list specific prior art references, their publication/filing dates, descriptions, and which claims they potentially anticipate.

Regarding 35 U.S.C. § 102 (Novelty):

For future reference, under 35 U.S.C. § 102, an invention is not patentable if it was described in, or obvious in view of, an earlier printed publication, or if it was in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. There are exceptions, such as a one-year grace period if the disclosure was made by the inventor or obtained directly or indirectly from the inventor.

Since I cannot access the actual USPTO citation list for US10624575, I cannot perform an anticipation analysis for specific claims against identified prior art.

Obviousness Analysis under 35 U.S.C. § 103

To establish obviousness under 35 U.S.C. § 103, it must be shown that the claimed invention as a whole would have been obvious to a person having ordinary skill in the art (POSA) at the time of the invention. This requires identifying:

1. Prior art references that teach or suggest elements of the claimed invention.
2. A motivation to combine these references to achieve the claimed invention.
3. A reasonable expectation of success in combining the references.

Prior Art References for US10624575

The patent US10624575 itself lists prior art keywords as "microactivity," "user," "threshold," "acceleration data," and "feature value." The Cooperative Patent Classification (CPC) codes assigned to US10624575 are particularly relevant for identifying pertinent prior art: A61B5/4806 (Sleep evaluation), A61B5/4815 (Sleep quality), A61B5/11 (Measuring movement of the entire body or parts thereof), A61B5/1118 (Determining activity level), and A61B5/72 (Signal processing specially adapted for physiological signals or for diagnostic purposes).

Given these classifications, a POSA would be aware of various technologies related to:

• Wearable devices for physiological monitoring: The patent explicitly mentions wearable devices such as wristbands, watches, rings, and necklaces, which are common in health monitoring.
• Accelerometer data for activity sensing: The use of multi-axial accelerometers to collect acceleration data for determining activity is a well-established technique in the field of physiological monitoring and activity tracking. CPC A61B5/11 directly covers "Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb," and A61B5/1118 covers "Determining activity level."
• Sleep monitoring: The core of US10624575 is sleep monitoring, which falls under CPC A61B5/4806 ("Sleep evaluation") and A61B5/4815 ("Sleep quality").
• Signal processing of physiological data: The patent details various signal processing steps, including determining mean values, difference vectors, and weighted sums, which are standard signal processing techniques. CPC A61B5/72 is for "Signal processing specially adapted for physiological signals or for diagnostic purposes," with sub-groups like A61B5/7235 for "Details of waveform analysis" and A61B5/7264 for "Classification of physiological signals or data."

Obviousness Combinations

Independent Claim 1 of US10624575 outlines a method for monitoring sleep. We will analyze its obviousness by combining known prior art elements.

Combination 1: Prior Art generally disclosing wearable devices with accelerometers for activity tracking + Prior Art disclosing signal processing techniques for activity data + Prior Art disclosing using activity data for sleep monitoring.

• Teaching/Suggestion:

  • Wearable devices with accelerometers for activity tracking: The use of wearable devices with accelerometers to measure a user's movement for activity tracking is fundamental and widely known in the art. Companies like Philips, Samsung, Apple, and Fitbit are prominent assignees in the IPC class A61B5/11, which covers measuring body movement. Such devices are routinely used to collect multi-axial acceleration data.
  • Signal processing techniques for activity data: The specific steps in Claim 1 for determining activity amount (obtaining distance vectors, rotating elements, extracting elements for reduced-dimension vectors, summing, squaring, and dividing) represent common mathematical and signal processing operations for quantifying movement from raw accelerometer data. The CPC A61B5/72 and its sub-classifications such as A61B5/7235 and A61B5/7264 confirm that signal processing, waveform analysis, and classification of physiological signals are standard practices in diagnostic and monitoring applications. For instance, calculating Euclidean distances from acceleration data is a basic way to represent magnitude of movement. Operations like translation (rotation of elements) and extracting subsets of data are standard data manipulation techniques for feature extraction in time series analysis.
  • Using activity data for sleep monitoring: Prior art clearly indicates that activity data from wearable devices has been used to determine sleep states and evaluate sleep quality. The CPC A61B5/4806 specifically addresses "Sleep evaluation" and A61B5/4809 addresses "Sleep detection, i.e. determining whether a subject is asleep or not," indicating that determining sleep from activity is a known goal. The patent itself acknowledges that "A wearable device can be used to record activity amount of a user to determine a sleep state of the user, and evaluate sleep quality of the user using the sleep state."

• Motivation to Combine: A POSA would be motivated to combine these elements to improve the accuracy and robustness of sleep monitoring systems. Existing systems might be inaccurate due to "microactivities" that occur when a user is awake but still (e.g., reading, using a phone) or when the device is not being worn. The motivation would be to refine the "activity amount" calculation and introduce a "microactivity feature value" to better distinguish between these states and actual sleep. This is explicitly stated as a problem to be solved in US10624575's background: "Some microactivities of the user before or after sleep (e.g., reading, using a cell phone, etc.) are similar to those in the sleep state. Although an activity amount can be used to determine the sleep state, the microactivities of the user often cannot be accurately recognized, which can affect monitoring the sleep quality of the user." A POSA would seek to improve this by applying more sophisticated signal processing to discern subtle differences in movement patterns. The detailed steps in Claim 1 for calculating the activity amount and then the microactivity feature value are directed precisely at this goal.

• Reasonable Expectation of Success: Given the widespread use of accelerometers in wearables and the established techniques for signal processing and sleep detection, a POSA would have a reasonable expectation of success in combining these known elements. The mathematical operations for transforming acceleration data into an activity amount, and then further processing that data into a microactivity feature value, are standard engineering practices. The identification of thresholds to differentiate between states (waking, sleeping, not wearing the device) is also a routine calibration and classification task in such systems.

Conclusion for Claim 1 Obviousness:

Claim 1, while detailing specific steps for calculating activity amount and a microactivity feature value, essentially describes applying known signal processing techniques to accelerometer data from a wearable device to more accurately determine a user's sleep state by distinguishing subtle movements from actual sleep or non-wearing states. The individual components of the claim—wearable accelerometers, activity detection, signal processing (including transformations like rotations, extractions, sums, and squares), and the use of thresholds for classification (e.g., distinguishing near-zero activity from actual zero activity)—were well-known in the prior art related to physiological monitoring and sleep analysis. A POSA, facing the known challenge of distinguishing low-activity states in sleep monitoring, would have been motivated to refine activity measurement and apply further signal processing to create a feature value that could differentiate these states, with a reasonable expectation of success.

To provide comprehensive details on patent term adjustments (PTA), patent term extensions (PTE), continuation/divisional applications, related family members, and the projected expiration date for US Patent 10,624,575, a direct query to the USPTO Public Patent Application Information Retrieval (PAIR) system or a similar specialized patent database would be ideal. Since I do not have real-time access to such systems, I will rely on information typically found in a patent's front page data and general patent law principles.

Based on the information provided and general patent practice:

Patent Term Adjustments (PTA)

Patent Term Adjustment (PTA) is granted to compensate for delays by the USPTO during the prosecution of a patent application. These delays generally fall into three categories: "A delay" (USPTO failing to act within certain deadlines, e.g., issuing a first office action within 14 months of filing), "B delay" (application pending for more than three years), and "C delay" (delays due to interference, secrecy order, or successful appeal). Any PTA can be reduced by applicant-caused delays.

The provided patent text for US10624575 does not explicitly state the granted PTA. However, the Google Patents information for US10624575 shows an "Adjusted expiration" date of 2037-09-08. This "Adjusted expiration" date implies that PTA has been calculated and applied, as the standard 20-year term from the filing date (April 26, 2017) would be April 26, 2037. The difference between these dates (September 8, 2037, vs. April 26, 2037) represents the period of PTA.

Patent Term Extensions (PTE)

Patent Term Extension (PTE) is available under the Hatch-Waxman Act (35 U.S.C. § 156) for patents claiming products (e.g., human drugs, medical devices, food additives) that require regulatory approval before commercial marketing. This aims to restore patent term lost during the regulatory review process.

Given that US10624575 relates to "Monitoring sleep using microactivity states" and involves a "wearable device," it's plausible that it could be related to a medical device, which might be eligible for PTE. However, the patent text does not indicate that any PTE has been sought or granted. Eligibility for PTE requires specific conditions, including the patent claiming a product subject to regulatory review and the product being the first permitted commercial marketing. Without information about specific product approvals and related regulatory review periods, it's impossible to confirm if PTE has been applied or would be applicable to this patent.

Continuation and Divisional Applications

• Continuation Application: A continuation application is filed for the same invention disclosed in a prior, co-pending nonprovisional application, and its disclosure must not introduce new matter. It allows the applicant to pursue new claims after the parent application has been prosecuted.
• Divisional Application: A divisional application is a type of continuing application that results from an earlier application (the "parent" application) that claimed more than one independent and distinct invention. If the USPTO issues a restriction requirement, the applicant can elect one invention to prosecute in the parent application and file divisional applications for the non-elected inventions.

The provided patent text states that US10624575 is a "continuation-in-part of International Application No. PCT/CN2016/109624, filed on Dec. 13, 2016, which claims priority to Chinese Patent Application No. 201510939058.7, filed on Dec. 14, 2015." A "continuation-in-part" application typically includes new matter in addition to the subject matter of the parent application. The Google Patents information also lists "US20170224275A1" as "Other versions", which is the publication of the application that led to US10624575.

This indicates that US10624575 itself is a continuation-in-part of a PCT application. There is no information within the provided text to suggest that further continuation or divisional applications have been filed from US10624575.

Related Family Members

The patent text explicitly identifies the following related family members:

• International Application No. PCT/CN2016/109624, filed on December 13, 2016.
• Chinese Patent Application No. 201510939058.7, filed on December 14, 2015 (priority claim).
• US20170224275A1: This is the U.S. patent application publication corresponding to the application that matured into US10624575B2.

These represent the immediate family members directly referenced in the patent or its associated Google Patents entry.

Projected Expiration Date

The standard patent term for utility patents filed on or after June 8, 1995, is 20 years from the earliest claimed non-provisional filing date.

For US10624575, the filing date is April 26, 2017. However, the patent also claims priority to the PCT application filed on December 13, 2016, and the Chinese application filed on December 14, 2015. The 20-year term is typically calculated from the earliest non-provisional filing date for which a benefit is claimed under 35 U.S.C. 120, 121, 365(c), or 386(c). In this case, the earliest effective filing date would likely be derived from the PCT application (December 13, 2016).

20 years from December 13, 2016, would be December 13, 2036.

However, the Google Patents listing explicitly states the "Adjusted expiration" date as 2037-09-08. This date already incorporates any Patent Term Adjustments (PTA) that were granted due to USPTO delays during prosecution. Therefore, the projected expiration date for US Patent 10,624,575 is September 8, 2037.