18379880. REHABILITATION ASSISTING APPARATUS DISPLAYING DIFFERENCE FROM EXEMPLARY MOTIONS simplified abstract (NEC Corporation)
REHABILITATION ASSISTING APPARATUS DISPLAYING DIFFERENCE FROM EXEMPLARY MOTIONS
Organization Name
Inventor(s)
Kosuke Nishihara of Tokyo (JP)
REHABILITATION ASSISTING APPARATUS DISPLAYING DIFFERENCE FROM EXEMPLARY MOTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18379880 titled 'REHABILITATION ASSISTING APPARATUS DISPLAYING DIFFERENCE FROM EXEMPLARY MOTIONS
Simplified Explanation
The patent application describes an exercise assisting apparatus that uses motion information to infer the motions of a target person doing exercise. Here are the key points:
- Division unit: The apparatus has a division unit that divides the motion information of a sample person doing exercise into multiple pieces of motion element information based on the regularity of the motions.
- Generation unit: The apparatus also includes a generation unit that generates an inference model by training a pre-existing model with the time-series dependency of the motion element information. This inference model can then be used to infer the motions of a target person based on their motion information.
- Target motion information: The inference model uses target motion information, which indicates the motions of the target person doing exercise, to make accurate inferences.
- Simplified explanation: The apparatus divides the motion information of a sample person into smaller pieces based on regularity and uses this information to train a model. This 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: 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 inferred motions can be used to create personalized exercise programs for individuals based on their specific needs and goals.
- Rehabilitation: The apparatus can assist in rehabilitation programs by accurately monitoring and analyzing the motions of patients during exercise therapy.
Problems solved by this technology:
- Accuracy in motion inference: The apparatus improves the accuracy of inferring motions by dividing the motion information into smaller pieces and training a model specifically for the regularity of the motions.
- Personalization: By inferring the motions of a target person, the apparatus allows for personalized exercise programs and rehabilitation plans tailored to individual needs.
- Efficiency: The division and inference process of the apparatus streamline the analysis of motion information, making it more efficient and effective.
Benefits of this technology:
- Improved exercise tracking: The apparatus provides more accurate tracking of exercise motions, allowing individuals to monitor their progress and make necessary adjustments.
- Personalized approach: By inferring motions and creating personalized exercise programs, the technology helps individuals achieve their fitness goals more effectively.
- Enhanced rehabilitation: The apparatus assists in rehabilitation programs by providing accurate monitoring and analysis of patient motions, leading to better outcomes.
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.
