Apple inc. (20240315601). MONITORING USER HEALTH USING GAIT ANALYSIS simplified abstract

MONITORING USER HEALTH USING GAIT ANALYSIS

Organization Name

apple inc.

Inventor(s)

Matthew S. Demers of Mountain View CA (US)

Edith M. Arnold of San Francisco CA (US)

Adeeti V. Ullal of Emerald Hills CA (US)

Vinay R. Majjigi of Mountain View CA (US)

Mariah W. Whitmore of Cupertino CA (US)

Mark P. Sena of Larkspur CA (US)

Irida Mance of Palo Alto CA (US)

Richard A. Fineman of Campbell CA (US)

Jaehyun Bae of San Carlos CA (US)

Maxsim L. Gibiansky of Sunnyvale CA (US)

Gabriel A. Blanco of San Francisco CA (US)

Daniel Trietsch of Cupertino CA (US)

Rebecca L. Clarkson of San Francisco CA (US)

Karthik Jayaraman Raghuram of Foster City CA (US)

MONITORING USER HEALTH USING GAIT ANALYSIS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240315601 titled 'MONITORING USER HEALTH USING GAIT ANALYSIS

The abstract of this patent application describes a method where a computing device obtains sensor data from accelerometers and gyroscopes to analyze a user's gait characteristics.

• The computing device collects sensor data from accelerometers and gyroscopes attached to a user walking.
• The data includes acceleration signals from the accelerometers and orientation signals from the gyroscopes.
• By analyzing the sensor data, the computing device can determine the user's walking speed and gait asymmetry.
• This technology can provide insights into a user's walking patterns and help in assessing their gait for various applications.
• The method offers a non-intrusive way to monitor and analyze a user's gait characteristics in real-time.

Potential Applications: - Healthcare: Monitoring and analyzing patients' gait for rehabilitation purposes. - Sports Science: Analyzing athletes' gait for performance improvement. - Wearable Technology: Integrating gait analysis into wearable devices for fitness tracking.

Problems Solved: - Provides a non-intrusive method for analyzing gait characteristics. - Offers real-time insights into a user's walking patterns. - Helps in identifying abnormalities in gait for medical or performance purposes.

Benefits: - Improved monitoring of gait characteristics. - Enhanced understanding of walking patterns. - Potential for early detection of gait-related issues.

Commercial Applications: Title: "Gait Analysis Technology for Healthcare and Sports Science" This technology can be commercialized in healthcare facilities, sports training centers, and wearable technology companies for gait analysis purposes. It can cater to a wide range of users, including patients, athletes, and fitness enthusiasts.

Questions about Gait Analysis Technology: 1. How does this technology compare to traditional gait analysis methods?

  - This technology offers a more convenient and real-time approach to gait analysis compared to traditional methods like gait labs.

2. What are the potential privacy concerns associated with monitoring gait using this technology?

  - Privacy concerns may arise regarding the collection and storage of personal gait data, requiring robust data protection measures to address them.

Original Abstract Submitted

in an example method, a computing device obtains sensor data generated by one or more accelerometers and one or more gyroscopes over a time period, including an acceleration signal indicative of an acceleration measured by the one or more accelerometers over a time period, and an orientation signal indicative of an orientation measured by the one or more gyroscopes over the time period. the one or more accelerometers and the one or more gyroscopes are physically coupled to a user walking along a surface. the computing device identifies one or more portions of the sensor data based on one or more criteria, and determines characteristics regarding a gait of the user based on the one or more portions of the sensor data, including a walking speed of the user and an asymmetry of the gait of the user.