20240020853. MOTION RECOGNITION METHOD AND DEVICE simplified abstract (THE UNIVERSITY OF TOKYO)
Contents
MOTION RECOGNITION METHOD AND DEVICE
Organization Name
Inventor(s)
Yoshihiko Nakamura of Tokyo (JP)
MOTION RECOGNITION METHOD AND DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240020853 titled 'MOTION RECOGNITION METHOD AND DEVICE
Simplified Explanation
The invention described in this patent application is a method for automatically discovering and evaluating motion by treating motion recognition as an optimization problem. The method involves segmenting time series data that defines a subject's motion into multiple segments, classifying each segment into a class for a basic motion using the time series data of the segment, and converting the subject's motion into a sequence of high rank symbols formed from a series of basic motions. The method also provides a function that calculates a score based on a set of high rank symbols and a sequence of basic motions, and the subject's motion is converted to the sequence of high rank symbols through an optimization calculation using dynamic programming.
- The method segments time series data defining a subject's motion into multiple segments.
- Each segment is classified into a class for a basic motion using the time series data of the segment.
- The subject's motion is converted into a sequence of high rank symbols formed from a series of basic motions.
- A function is provided to calculate a score based on a set of high rank symbols and a sequence of basic motions.
- The subject's motion is converted to the sequence of high rank symbols through an optimization calculation using dynamic programming.
Potential applications of this technology:
- Motion recognition and analysis in sports training and performance evaluation.
- Gesture recognition for human-computer interaction.
- Motion-based surveillance and security systems.
- Virtual reality and augmented reality applications.
- Biomechanical analysis in healthcare and rehabilitation.
Problems solved by this technology:
- Efficient and accurate motion recognition and analysis.
- Automation of motion evaluation and scoring.
- Improved understanding and interpretation of complex motions.
- Enhanced user experience in interactive systems.
- Objective assessment of motion-related tasks and activities.
Benefits of this technology:
- Time and cost savings in motion analysis and evaluation.
- Improved accuracy and reliability in motion recognition.
- Increased efficiency and productivity in various industries.
- Enhanced user interaction and immersion in virtual environments.
- Objective and standardized assessment of motion performance.
Original Abstract Submitted
the invention relates to automatic discovery and evaluation of a motion by treating motion recognition as an optimization problem by considering a series of basic motions obtained by segmenting a subject motion. the method comprises segmenting time series data defining a motion of a subject into a plurality of segments, classifying each segment into a class for a basic motion by using time series data of the segment, and converting the motion of the subject to a sequence of high rank symbols in which each high rank symbol is formed from a series of the basic motions, wherein a function that calculates a score based on a set of a high rank symbol and a sequence of basic motions is provided and the motion of the subject is converted to the sequence of the high rank symbols by an optimization calculation using dynamic programming.
