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.