17950664. POSTURE AND MOTION MONITORING USING MOBILE DEVICES simplified abstract (Apple Inc.)

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POSTURE AND MOTION MONITORING USING MOBILE DEVICES

Organization Name

Apple Inc.

Inventor(s)

Aditya Sarathy of Santa Clara CA (US)

Rene Aguirre Ramos of Poway CA (US)

Umamahesh Srinivas of Milpitas CA (US)

Yongyang Nie of New York NY (US)

POSTURE AND MOTION MONITORING USING MOBILE DEVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17950664 titled 'POSTURE AND MOTION MONITORING USING MOBILE DEVICES

Simplified Explanation

The patent application describes a method for monitoring posture and motion using mobile devices. Here are the key points:

  • The method involves obtaining motion data from a motion sensor worn by a user and obtaining skeletal data from camera or depth data.
  • The motion data and skeletal data are calibrated to determine a calibration offset, which helps synchronize the two types of data.
  • A body pose of the user is generated by aligning the reference frames of the motion data and skeletal data using the calibration offset.
  • The aligned motion data and skeletal data are used to estimate the body pose of the user.
  • A machine learning model is then used to classify the estimated body pose of the user.

Potential applications of this technology:

  • Fitness tracking: The method can be used to monitor and analyze the user's posture and motion during exercise or physical activities.
  • Rehabilitation: It can assist in monitoring the progress and effectiveness of rehabilitation exercises by tracking the user's posture and motion.
  • Virtual reality: The method can be used to capture and analyze the user's body movements for immersive virtual reality experiences.

Problems solved by this technology:

  • Accurate monitoring: The method combines motion data from sensors and skeletal data from cameras to provide a more comprehensive and accurate monitoring of posture and motion.
  • Calibration and synchronization: The calibration offset helps align and synchronize the motion data and skeletal data, improving the accuracy of the body pose estimation.
  • Classification of body pose: The use of a machine learning model allows for automatic classification of the estimated body pose, providing valuable insights and analysis.

Benefits of this technology:

  • Convenience: The use of mobile devices makes it easy for users to monitor their posture and motion without the need for additional specialized equipment.
  • Real-time feedback: The method allows for real-time monitoring and analysis of posture and motion, providing immediate feedback to the user.
  • Personalized insights: The machine learning model can provide personalized insights and recommendations based on the user's body pose, helping them improve their posture and motion.


Original Abstract Submitted

Embodiments are disclosed for posture and motion monitoring using mobile devices. In an embodiment, a method comprises: obtaining motion data obtained from at least one motion sensor worn by a user; obtaining at least one frame of skeletal data of the user based on at least one of camera data or depth data; calibrating, with the at least one processor, the motion data and skeletal data to determine a calibration offset; synchronizing the motion data and skeletal data; generating, with the at least one processor, a body pose of the user by: aligning reference frames of the synchronized motion data and the synchronized skeletal data using the calibration offset; estimating the body pose of the user based on the aligned motion data and skeletal data; and classifying, using a machine learning model, the estimated body pose of the user.

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