US 8989441

US patent 8989441, titled "Data acquisition method and device for motion recognition, motion recognition system and computer readable storage medium," has the following details:

• Title: Data acquisition method and device for motion recognition, motion recognition system and computer readable storage medium
• Current Assignee: Zepp North America Inc
• Inventors: Zheng Han, Xiaowei Dai, Mi Chen
• Filing Date: March 18, 2013
• Issue Date: March 24, 2015
• Abstract: A data acquisition method and device for motion recognition, a motion recognition system and a computer readable storage medium are disclosed. The data acquisition device for motion recognition comprises: an initial motion recognition module adapted to perform an initial recognition with respect to motion data collected by a sensor and provide motion data describing a predefined range around a motion trigger point to a data storage module for storage; a data storage module adapted to store motion data provided from the initial motion recognition module; and a communications module adapted to forward the motion data stored in the data storage module to a motion computing device for motion recognition. The present invention makes an initial selection to the motion data to be transmitted to the motion computing device under the same sampling rate. Consequently, the present invention reduces pressures on wireless channel transmission and wireless power consumption, and provides high accuracy in motion recognition while providing motion data at the same sampling rate.

Plain-Language Overview of Independent Claims:

US patent 8989441 includes four independent claims: Claim 1 (method), Claim 9 (device), Claim 17 (system), and Claim 18 (computer readable storage medium). Independent claims are those that do not refer to any other claims and define the broadest scope of the invention.

• Claim 1 (Method): This claim describes a method for acquiring motion data for recognition. It involves a data acquisition device with an initial motion recognition module, a data storage module, and a communications module. The core steps are:

  1. The initial motion recognition module first performs a basic recognition on motion data from a sensor. It then provides a specific segment of this data to a data storage module. This segment includes m*Fs frames of data before a detected "motion trigger point," the data at the motion trigger point itself, and n*Fs-1 frames of data after the motion trigger point. Here, 'm' and 'n' are set positive integers, and 'Fs' is the sampling rate. A "frame of motion data" is defined as all data collected by various sensors at a single moment.
  2. The communications module then sends this stored motion data to a separate motion computing device for further motion recognition.

• Claim 9 (Device): This claim defines a data acquisition device for motion recognition. The device includes:

  1. An initial motion recognition module: This module is designed to perform an initial recognition on motion data collected by a sensor. Its function is to provide m*Fs frames of motion data before a motion trigger point, the motion data at the motion trigger point, and n*Fs-1 frames of motion data after the motion trigger point to a data storage module. Again, 'm' and 'n' are predefined positive integers, and 'Fs' is the sampling rate, with one frame being data collected by various sensors at the same sampling moment.
  2. A data storage module: This module stores the motion data received from the initial motion recognition module.
  3. A communications module: This module is responsible for transmitting the data stored in the data storage module to a motion computing device for motion recognition.

• Claim 17 (System): This claim describes a motion recognition system. It comprises:

  1. A motion computing device.
  2. A data acquisition device as described in Claim 9.
     The system functions such that the motion computing device uses the motion data transmitted from the data acquisition device to perform motion recognition.

• Claim 18 (Computer Readable Storage Medium): This claim covers a computer readable storage medium. This medium stores programs that, when executed, carry out the data acquisition method for motion recognition as described in Claim 1.

CAFC 2026 Dockets Search:

A search of CAFC 2026 dockets for patent number 8989441 did not return any specific litigation entries for the year 2026. The Google Patents information for US8989441B2 indicates "Family has litigation" with a US case filed in Texas Eastern District Court (https://portal.unifiedpatents.com/litigation/Texas%20Eastern%20District%20Court/case/2%3A26-cv-00316), and "First worldwide family litigation filed" (https://patents.darts-ip.com/?family=48153442&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=[US8989441](/patent/US8989441)(B2)). However, no specific dockets for 2026 in the CAFC were found with the provided search queries.

US Patent 8989441 is involved in the following known litigation:

• Case Number: 2:26-cv-00316
• Jurisdiction: Texas Eastern District Court
• Status: The Google Patents entry indicates "Family has litigation" and points to this case in the Texas Eastern District Court. However, specific details regarding plaintiff(s), defendant(s), filing date, and outcome or current status are not provided in the readily available information from Google Patents or general searches of Unified Patents or PACER. Further investigation into the specific court docket would be required to obtain these details.

Proceedings overview

There are no AIA trial proceedings on file for US patent 8989441 according to the USPTO ODP API. A web search for PTAB proceedings related to this patent did not reveal any additional cases. Therefore, the patent has not been challenged via IPR, PGR, or CBM. This provides a patent owner with a strong defensive posture, as the patent claims remain untested at the PTAB.

Recommended next steps

Since no PTAB activity exists for US patent 8989441, the claims have not been challenged or narrowed by AIA trial proceedings. For a defendant facing assertion of this patent, this means all claims are currently presumed valid as granted. The absence of PTAB activity can be a signal that the patent has not been extensively litigated or that previous challenges did not proceed to an IPR filing. A defendant would need to initiate a new IPR, PGR, or CBM proceeding if they wished to challenge the patentability of the claims before the PTAB. Information on filing such petitions can be found on the USPTO's PTAB website.

Inventors

• Zheng Han (Zepp Labs Inc)
• Xiaowei Dai (Zepp Labs Inc)
• Mi Chen (Zepp Labs Inc)

Unusual pattern: Inventors Zheng Han and Xiaowei Dai, along with Mi Chen, were originally associated with Zepp Labs Inc. However, post-filing, there are reassignment records indicating transfers involving Zheng Han and Xiaowei Dai individually, before the patent ultimately landed with Zepp North America Inc. This suggests some internal restructuring or changes in inventor affiliations/ownership interests.

Original assignee

Zepp Labs Inc. Their primary line of business was developing sports sensor technology and applications for motion analysis, particularly for golf, baseball, and tennis. They shipped products embodying the claims, such as small, attachable sensors for sports equipment to track performance.

Current Status: Acquired by Huami Corporation (now Zepp Health Corporation) in 2018. Zepp North America Inc. is an active entity under the Zepp Health umbrella.

Assignment timeline

• 2013-03-29 (executed) / recorded 2013-03-29 — Reel 030097/0862

  • Conveyance: Assignment
  • Assignor: CHEN, MI; HAN, ZHENG
  • Assignee: SAMSUNG ELECTRO-MECHANICS CO., LTD.
  • Correspondent: BAE, SUK HEE, LEE & MORSE, P.C., 388 BRIDGE STREET, SUITE 803, BROOKLYN, NEW YORK, 11201
  • Context: Transfer of inventor's interest to a corporate entity.

• 2013-12-20 (executed) / recorded 2013-12-20 — Reel 031448/0659

  • Conveyance: Assignment
  • Assignor: HAN, ZHENG
  • Assignee: ZEPP LABS, INC.
  • Correspondent: RAGHAVAN, NALINI, SCHOX, PLC, 500 3RD STREET, SUITE 515, SAN FRANCISCO, CA, 94107
  • Context: Inventor assigning interest back to the original assignee, Zepp Labs Inc.

• 2014-12-17 (executed) / recorded 2014-12-17 — Reel 033325/0827

  • Conveyance: Corrective Assignment
  • Assignor: CHEN, MI; DAI, XIAOWEI; HAN, ZHENG
  • Assignee: HAN, ZHENG
  • Correspondent: RAGHAVAN, NALINI, SCHOX, PLC, 500 3RD STREET, SUITE 515, SAN FRANCISCO, CA, 94107. This correspondent also appears on reel 031448/0659 for this patent.
  • Context: Corrective assignment to update assignee name and add a second assignor.

• 2018-08-30 (executed) / recorded 2018-08-30 — Reel 045869/0754

  • Conveyance: Assignment
  • Assignor: ZEPP LABS, INC.
  • Assignee: HUAMI HK LIMITED
  • Correspondent: KANG, YOON S, 3333 CALIFORNIA STREET, SUITE 340, SAN FRANCISCO, CA, 94118
  • Context: Acquisition of Zepp Labs Inc. by Huami HK Limited.

• 2018-10-16 (executed) / recorded 2018-10-16 — Reel 046162/0547

  • Conveyance: Assignment
  • Assignor: HUAMI HK LIMITED
  • Assignee: Beijing Shunyuan Kaihua Technology Limited
  • Correspondent: YAN, WENJIN, MEITAR, LIPA & ZERNER, LLP, 201 N. BRANDEIS AVE., SUITE 207, WHITE PLAINS, NY, 10606
  • Context: Transfer of patent ownership from Huami HK Limited to Beijing Shunyuan Kaihua Technology Limited.

• 2026-04-10 (executed) / recorded 2026-04-10 — Reel 060599/0410

  • Conveyance: Assignment
  • Assignor: Beijing Shunyuan Kaihua Technology Limited
  • Assignee: ZEPP NORTH AMERICA, INC.
  • Correspondent: LIU, JIULONG, JCIP (SHANGHAI) LAW FIRM, ROOM 1009, FLOOR 10, BUILDING 3, NO. 3000, XIANGHE RD., PUDONG NEW AREA, SHANGHAI, CHINA, 200120
  • Context: Transfer of patent ownership to Zepp North America, Inc.

Timeline diagram

timeline
    title Ownership of US 8989441
    2013 : Filed by Zepp Labs Inc
         : Assigned to Samsung Electro-Mechanics
    2013 : Assigned to Zepp Labs Inc
    2014 : Corrective assignment to Zheng Han
    2015 : Issued to Zepp Labs Inc
    2018 : Assigned to Huami HK Limited
         : Assigned to Beijing Shunyuan Kaihua
    2026 : Assigned to Zepp North America Inc

NPE / troll-pattern signals

1. Shell-entity transfer — Unclear. While entities like "Beijing Shunyuan Kaihua Technology Limited" or "Huami HK Limited" might raise questions without further information on their core business beyond holding IP, there isn't enough public information solely from the assignment records to definitively label them as shell entities. Zepp North America Inc. is an operating company.
2. Known asserter in the chain — Not present. None of the assignees (Samsung Electro-Mechanics Co., Ltd., Zepp Labs Inc., Huami HK Limited, Beijing Shunyuan Kaihua Technology Limited, Zepp North America Inc.) are on the commonly recognized NPE lists.
3. Repeat correspondent across the chain — Present. Nalini Raghavan of Schox, PLC, appears as the correspondent for the assignments recorded on reel 031448/0659 and reel 033325/0827.
4. Cascading transfers — Present. There are two transfers in rapid succession in 2018: from Zepp Labs Inc. to Huami HK Limited on 2018-08-30 (executed/recorded) and then to Beijing Shunyuan Kaihua Technology Limited on 2018-10-16 (executed/recorded). This is a period of less than two months between recorded assignments.
5. Pre-litigation transfer — Unclear. While Google Patents indicates ongoing litigation, the specific filing dates of those lawsuits in relation to the assignments are not readily available in the patent record to confirm if any assignment occurred within 6 months prior.
6. Bankruptcy fire-sale — Not present. There is no indication in the assignment records or Google Patents legal events that any of the assignors or assignees have undergone bankruptcy proceedings leading to a patent sale.
7. Privateering — Unclear. There is no information in the assignment records or publicly available data to suggest that any of the transfers were part of a privateering arrangement.
8. Defensive aggregator (anti-NPE) — Not present. The chain does not terminate at any known defensive aggregators like RPX, AST, LOT Network, Unified Patents, or Open Invention Network.

Verdict

Operating-company assertion The current assignee, Zepp North America Inc., is part of Zepp Health Corporation, which develops and sells sports-related products embodying the claims, like motion sensors for athletic equipment. Although there was a period of rapid transfers in 2018 (reel 045869/0754 and 046162/0547), these appear to be related to corporate acquisitions and restructuring within the Zepp/Huami ecosystem, rather than a divestment to a licensing-only entity. The presence of litigation (as indicated by Google Patents) further suggests active assertion by an operating company.

For verification, see the USPTO Assignment Center search for US8989441: https://assignmentcenter.uspto.gov/patent/index.html?cn=8989441

To find the most relevant prior art for US patent 8989441, I will examine the patent citations listed within the patent itself. Under 35 U.S.C. § 102, a claim is anticipated if every element of the claimed invention is disclosed, either expressly or inherently, in a single prior art reference that existed before the effective filing date of the claimed invention.

Here are the patent citations for US8989441B2 and their potential relevance as prior art:

Cited Patent References:

1. US6289124B1

   • Full Citation: US6289124B1 - Method and system of handwritten-character recognition
   • Publication/Filing Date: Publication date: 2001-09-11; Priority date: 1998-04-27.
   • Brief Description: This patent describes a method and system for handwritten character recognition. It involves acquiring handwritten character data, comparing it with registered character patterns, and recognizing the character. While it deals with data acquisition and recognition, its focus is on static handwritten characters rather than dynamic motion.
   • Potential Anticipated Claim(s) under 35 U.S.C. § 102: While it involves data acquisition and recognition, the specific elements of motion data, motion trigger points, and the buffering scheme of US8989441B2 are not clearly present. Therefore, it is unlikely to directly anticipate the independent claims (1, 9, 17, 18) under 35 U.S.C. § 102, as not every element of the claims would be identically shown.

2. US20050259739A1

   • Full Citation: US20050259739A1 - Image processing apparatus and method, and recording medium and program used therewith
   • Publication/Filing Date: Publication date: 2005-11-24; Priority date: 2004-04-09.
   • Brief Description: This patent application describes an image processing apparatus and method for generating image data representing a subject's posture based on captured images, and for recognizing gestures. It focuses on image-based recognition.
   • Potential Anticipated Claim(s) under 35 U.S.C. § 102: Similar to US6289124B1, this reference deals with recognition but uses image data rather than sensor-based motion data with specific buffering around a motion trigger point. Thus, it is unlikely to directly anticipate claims 1, 9, 17, or 18.

3. WO2011003218A1

   • Full Citation: WO2011003218A1 - Acceleration motion identify method and system thereof
   • Publication/Filing Date: Publication date: 2011-01-13; Priority date: 2009-07-07.
   • Brief Description: This international patent application describes a method and system for identifying acceleration motion. This appears more closely related to motion detection using sensors.
   • Potential Anticipated Claim(s) under 35 U.S.C. § 102: This reference is more relevant due to its focus on "acceleration motion identify." Depending on the specifics of its disclosure regarding collecting "mFs frames of motion data prior to the motion trigger point, motion data regarding the motion trigger point, and nFs−1 frames of motion data after the motion trigger point," it could potentially anticipate aspects of Claim 1 (method) and Claim 9 (device), and consequently Claim 17 (system) and Claim 18 (computer readable storage medium). A detailed analysis of the full text of WO2011003218A1 would be needed to determine if every element of the independent claims of US8989441B2 is identically disclosed.

4. CN102591445A

   • Full Citation: CN102591445A - Stress sensing simulation method and equipment
   • Publication/Filing Date: Publication date: 2012-07-18; Priority date: 2011-01-06.
   • Brief Description: This Chinese patent application describes a stress sensing simulation method and equipment. The term "stress sensing" suggests a different focus than the motion data and trigger point detection of US8989441B2.
   • Potential Anticipated Claim(s) under 35 U.S.C. § 102: Without more details on its specific data acquisition and recognition methods, it is unlikely to directly anticipate the core elements of motion data buffering around a trigger point as claimed in US8989441B2.

5. CN102221369A

   • Full Citation: CN102221369A - Gesture recognizing method and device of ball game and gesture auxiliary device
   • Publication/Filing Date: Publication date: 2011-10-19; Priority date: 2011-04-29.
   • Brief Description: This Chinese patent application describes a gesture recognizing method and device for ball games, along with a gesture auxiliary device. This reference is highly relevant as it deals with motion recognition in ball games, a key application area for US8989441B2.
   • Potential Anticipated Claim(s) under 35 U.S.C. § 102: This reference's focus on "gesture recognizing method and device of ball game" makes it a strong candidate for potentially anticipating Claims 1, 9, 17, and 18. Specifically, the patent claims revolve around initial recognition of motion data, detecting a motion trigger point, and storing a predefined range of data around it. If CN102221369A describes a similar methodology for detecting significant moments in ball game gestures and intelligently handling data around those moments, it could anticipate the independent claims. A thorough review of its detailed claims and description would be necessary to confirm if every element of US8989441B2's independent claims is identically disclosed.

Based on the titles and brief descriptions, WO2011003218A1 and CN102221369A appear to be the most relevant prior art references due to their focus on acceleration motion identification and gesture recognition in ball games, respectively. A full anticipation analysis under 35 U.S.C. § 102 would require a detailed comparison of every element of the independent claims of US8989441B2 against the complete disclosure of each of these references.

Obviousness Analysis of US Patent 8989441 under 35 U.S.C. § 103

To determine the obviousness of US Patent 8989441, we consider whether the claimed invention as a whole would have been obvious to a person having ordinary skill in the art (POSITA) at the time of the invention (the filing date of March 18, 2013), given the prior art. Obviousness requires identifying a motivation to combine prior art references to arrive at the claimed invention with a reasonable expectation of success. A POSITA is a hypothetical person with average knowledge and expertise in the relevant technical field.

The invention broadly concerns a data acquisition method and device for motion recognition, wherein an initial recognition module in a data acquisition device identifies a motion trigger point and stores a predefined range of motion data around this point, which is then transmitted to a motion computing device. This aims to reduce wireless transmission pressure and power consumption while maintaining accuracy.

Prior Art References

The following prior art references are cited in US8989441B2:

• US6289124B1 (Sanyo Electric Co., Ltd.): "Method and system of handwritten-character recognition." This patent, filed April 27, 1998, and issued September 11, 2001, describes a method and system for handwritten character recognition. While not directly related to sports motion, it deals with sensor data acquisition and recognition.
• US20050259739A1 (Sony Corporation): "Image processing apparatus and method, and recording medium and program used therewith." This application, filed April 9, 2004, and published November 24, 2005, focuses on image processing for various applications. It suggests technologies for analyzing visual data.
• WO2011003218A1 (Zheng Han): "Acceleration motion identify method and system thereof." Published January 13, 2011, this international application by one of the inventors of US8989441B2 describes a method and system for identifying acceleration motion. This is highly relevant as it addresses motion identification using acceleration data.
• CN102591445A (Shenzhen Hezhisheying Electronic Co., Ltd.): "Stress sensing simulation method and equipment." Published July 18, 2012, this Chinese application relates to stress sensing and simulation.
• CN102221369A (Zheng Han): "Gesture recognizing method and device of ball game and gesture auxiliary device." Published October 19, 2011, this Chinese application, also by one of the inventors, specifically addresses gesture recognition in ball games and a corresponding auxiliary device. This is highly relevant as it directly pertains to sports motion recognition using sensors.

Obviousness Combinations and Rationales

A conclusion of obviousness can be supported by rationales such as combining prior art elements according to known methods to yield predictable results, or using a known technique to improve similar devices. The motivation to combine can be found explicitly or implicitly in market forces, design incentives, or a known problem in the field.

Combination 1: WO2011003218A1 + CN102221369A + General Knowledge of Data Transmission Optimization

• WO2011003218A1 discloses an acceleration motion identification method and system. This reference teaches the fundamental aspects of collecting and identifying motion based on acceleration data.

• CN102221369A describes a gesture recognizing method and device specifically for ball games, using an auxiliary device. This shows the application of motion recognition to sports equipment. The problem of transmitting large amounts of sensor data in real-time over wireless channels, leading to high power consumption and channel pressure, is a known challenge in motion recognition systems that use high sampling rates. The background section of US8989441B2 explicitly states this problem: "in the case of a high sampling rate, the huge amount of data collected by the sensor will exert too much pressure on the transmission over the wireless channel. This not only results in large wireless power consumption, but also goes beyond the maximum capacity of the wireless channel."

• Motivation to Combine: A POSITA in the field of motion recognition systems would be motivated to combine the motion identification techniques of WO2011003218A1 and the sports-specific application of CN102221369A with common knowledge of data transmission optimization to address the aforementioned problem of excessive data transmission. The goal would be to improve efficiency and reduce power consumption in wireless sensor-based systems. It is a known technique to reduce data transmission by filtering or pre-processing data at the source when only specific events or relevant data segments are of interest for further analysis.

  • Resulting Obviousness: A POSITA would find it obvious to implement an "initial recognition module" in the data acquisition device (as described in claims 1 and 9 of US8989441B2) to perform preliminary processing. This module would identify "motion trigger points" (e.g., impacts in a ball game as suggested by CN102221369A) and only transmit data around these significant events. Storing a "predefined range" of data (m*Fs frames before, the trigger point, and n*Fs-1 frames after) in a "data storage module" for subsequent transmission via a "communications module" to a "motion computing device" (as detailed in claims 1, 9, and 17) would be a predictable solution to reduce the volume of transmitted data. This is a known technique to improve similar devices (motion recognition systems) in the same way (by optimizing data transmission).

Combination 2: US6289124B1 + WO2011003218A1 + CN102221369A

• US6289124B1 describes a method and system for handwritten character recognition using sensors to acquire data. While a different application, it establishes the concept of a "data acquisition device comprising a sensor" performing initial recognition and processing for subsequent transmission for a more complex recognition task.

• WO2011003218A1 provides a method and system for acceleration motion identification.

• CN102221369A discloses a gesture recognizing method and device for ball games, making it clear that motion data from sensors can be used for sports analysis.

• Motivation to Combine: A POSITA would be motivated to adapt the data acquisition and initial recognition principles from US6289124B1 (general sensor data processing for recognition) to the specific context of motion recognition in sports, as taught by WO2011003218A1 and CN102221369A. The motivation would be to enhance the efficiency of sports motion recognition systems by intelligently managing sensor data, similar to how handwritten character recognition systems might focus on significant strokes. The challenge of processing and transmitting all raw sensor data for accurate recognition would be apparent to a POSITA.

  • Resulting Obviousness: It would be obvious to apply the concept of an initial recognition step at the data acquisition device (as shown in US6289124B1 for handwritten characters) to motion data in a sports context (WO2011003218A1, CN102221369A). This would involve detecting a "motion trigger point" (analogous to a significant part of a character stroke) and only transmitting a "predefined range" of data around that point, thus addressing the efficiency and bandwidth concerns inherent in wireless data transmission for real-time sports analysis. The system and method claims (1, 9, 17) of US8989441B2 would be rendered obvious by this combination.

Combination 3: US20050259739A1 + WO2011003218A1 + CN102221369A

• US20050259739A1 pertains to image processing, including methods for acquiring and processing data for recognition. While image-based, it highlights the concept of processing raw input (image data) to extract relevant information for further recognition by a separate computing device.

• WO2011003218A1 and CN102221369A clearly demonstrate the application of sensor-based motion data for recognition in sports.

• Motivation to Combine: A POSITA would recognize that the principle of pre-processing or "initial recognition" of data at the acquisition stage (as seen in image processing with US20050259739A1) could be beneficially applied to sensor-based motion data for sports. The motivation would be to reduce the computational load on the main "motion computing device" and optimize data transmission from the "data acquisition device" by sending only pertinent segments of motion data. This is a common problem-solving strategy in data-intensive applications.

  • Resulting Obviousness: Applying an initial recognition step to identify and isolate key motion events (trigger points) in sensor data for sports (as taught by WO2011003218A1 and CN102221369A), mirroring the data reduction techniques in image processing (US20050259739A1), would be obvious. The specific mechanism of storing m*Fs frames before and n*Fs-1 frames after the trigger point for transmission is a predictable design choice for capturing the full context of the event while minimizing overall data. Thus, the method, device, and system claims (1, 9, 17) of US8989441B2 would be obvious.

In summary, the core inventive step of US8989441B2 – pre-processing motion data at the acquisition device to extract and transmit only data around a motion trigger point to a separate computing device for full recognition – addresses a known problem of wireless data transmission efficiency and power consumption. The individual elements of sensor-based motion recognition, initial data processing, and segmented data transmission were present in the prior art, particularly in related fields or even by the same inventors. A POSITA would have been motivated to combine these known elements to achieve the predictable result of improved efficiency in sports motion recognition systems.

To detail the patent term adjustments (PTA), patent term extensions (PTE), continuation applications, divisional applications, related family members, and projected expiration date for US Patent 8989441, I will rely on information available through the USPTO.

Patent Term Adjustments (PTA):
Patent Term Adjustment (PTA) is granted to compensate for certain delays by the USPTO during the prosecution of a patent application. This can include delays such as failing to issue an office action within 14 months of filing, responding to a reply within four months, or issuing a patent within three years of the actual filing date. The specific PTA for US8989441 is not directly stated in the provided text snippets, but Google Patents indicates an "Adjusted expiration" date of 2033-08-17, which implies PTA was applied.

Patent Term Extensions (PTE):
Patent Term Extension (PTE) is available under the Hatch-Waxman Act for patents claiming products that require regulatory approval (e.g., human drugs, medical devices) to restore patent term lost during the regulatory review process. There is no indication that US8989441, which relates to motion recognition, is subject to regulatory review under the Hatch-Waxman Act. Therefore, it is highly unlikely to have received a PTE.

Continuation and Divisional Applications:
A continuation application allows an applicant to pursue claims based on the same specification and drawings as a pending "parent" application, sharing the same priority date. A divisional application presents claims that were originally filed with the parent application but were required to be withdrawn or canceled by the USPTO.

US8989441 (Application number US13/846,700) is noted to be a member of a patent family. The Google Patents "Family Applications" section lists:

• US13/846,700 (which led to US8989441B2).
• CN201310049750.3A (Chinese application). [cite: CN103076884B]
• CN201310049750 (Chinese application). [cite: CN103076884B]
• CN103076884B (Chinese patent). [cite: CN103076884B]

The patent itself claims priority from Chinese Patent Application No. 201310049750.3, filed on February 7, 2013. [cite: US8989441B2] This indicates that US8989441 is not a continuation or divisional of another U.S. patent application, but rather claims priority to an earlier foreign application. The provided data does not explicitly mention any continuation or divisional U.S. applications stemming directly from US13/846,700.

Related Family Members:
The patent family includes:

• US8989441B2 (the granted U.S. patent)
• US20140219498A1 (a U.S. patent application publication, an earlier publication of the same U.S. application).
• CN201310049750.3 (Chinese priority application). [cite: US8989441B2]
• CN103076884B (Chinese patent granted from the priority application). [cite: CN103076884B]
• WO2014121566A1 (a PCT international application).

Projected Expiration Date:
For utility patents filed on or after June 8, 1995, the patent term generally expires 20 years from the date of the earliest non-provisional application in its chain of priority, plus any Patent Term Adjustment (PTA).

• Filing Date (US Application): March 18, 2013 [cite: US8989441B2]
• Priority Date (Chinese Application): February 7, 2013 [cite: US8989441B2]

The base term would be 20 years from the earliest priority date, which is February 7, 2013. This would set a base expiration date of February 7, 2033.

Google Patents states an "Adjusted expiration" date of 2033-08-17. This indicates that Patent Term Adjustment (PTA) was granted for delays during prosecution, extending the patent term from the base 20 years (from the priority date) by approximately 6 months and 10 days. [cite: US8989441B2]