18378773. EXERCISE ASSISTING APPARATUS DISPLAYING DIFFERENCE FROM EXEMPLARY MOTIONS simplified abstract (NEC Corporation)

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EXERCISE ASSISTING APPARATUS DISPLAYING DIFFERENCE FROM EXEMPLARY MOTIONS

Organization Name

NEC Corporation

Inventor(s)

Makoto Yasukawa of Tokyo (JP)

Kosuke Nishihara of Tokyo (JP)

Yuji Ohno of Tokyo (JP)

EXERCISE ASSISTING APPARATUS DISPLAYING DIFFERENCE FROM EXEMPLARY MOTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18378773 titled 'EXERCISE ASSISTING APPARATUS DISPLAYING DIFFERENCE FROM EXEMPLARY MOTIONS

Simplified Explanation

The patent application describes an exercise assisting apparatus that can analyze the motions of a person doing exercise and generate an inference model to infer the motions of a target person based on their motion information.

  • The division unit divides the motion information of the sample person into multiple pieces of motion element information based on the regularity of their motions.
  • The generation unit uses a pre-trained model to learn the time-series antecedent dependency of the motion element information and generates an inference model.
  • The inference model can then be used to infer the motions of a target person based on their motion information.

Potential applications of this technology:

  • Fitness tracking and analysis: The apparatus can be used in fitness tracking devices or apps to accurately track and analyze the motions of individuals during exercise.
  • Personalized exercise programs: The inference model can be used to generate personalized exercise programs for individuals based on their specific motions and abilities.
  • Rehabilitation and physical therapy: The apparatus can assist in monitoring and guiding the motions of individuals during rehabilitation or physical therapy sessions.

Problems solved by this technology:

  • Accurate motion analysis: The apparatus can provide a more accurate analysis of a person's motions during exercise, allowing for better tracking and understanding of their movements.
  • Personalized guidance: The inference model can provide personalized guidance and feedback to individuals based on their specific motions, helping them improve their exercise technique and avoid injuries.
  • Efficient exercise programs: By analyzing the regularity of motions, the apparatus can generate more efficient and effective exercise programs tailored to an individual's specific needs.

Benefits of this technology:

  • Improved exercise performance: The apparatus can help individuals improve their exercise performance by providing accurate analysis and personalized guidance.
  • Injury prevention: By analyzing and guiding the motions of individuals, the apparatus can help prevent injuries during exercise.
  • Time and cost savings: The apparatus can provide efficient and personalized exercise programs, saving time and cost compared to traditional methods of exercise guidance.


Original Abstract Submitted

An exercise assisting apparatus includes: a division unit configured to divide sample motion information indicating motions of a sample person doing exercise into a plurality of pieces of motion element information , according to regularity of the motions of the sample person; and a generation unit configured to generate an inference model by causing a pre-trained model to learn time-series antecedent dependency of the plurality of pieces of motion element information, the inference model inferring motions of a target person, based on target motion information indicating the motions of the target person doing exercise.