17886649. USAGE CONDITION PROPOSAL SYSTEM, USAGE CONDITION PROPOSAL METHOD, AND NON-TRANSITORY STORAGE MEDIUM simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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USAGE CONDITION PROPOSAL SYSTEM, USAGE CONDITION PROPOSAL METHOD, AND NON-TRANSITORY STORAGE MEDIUM

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Eisuke Aoki of Toyota-shi (JP)

Takahiro Takeda of Toyota-shi (JP)

Tadashi Odashima of Toyota-shi (JP)

USAGE CONDITION PROPOSAL SYSTEM, USAGE CONDITION PROPOSAL METHOD, AND NON-TRANSITORY STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17886649 titled 'USAGE CONDITION PROPOSAL SYSTEM, USAGE CONDITION PROPOSAL METHOD, AND NON-TRANSITORY STORAGE MEDIUM

Simplified Explanation

The patent application describes a system for proposing usage conditions based on causal relationship information stored in a reference database. The system includes a storage medium that stores information about the physical characteristics of a user and the usage conditions for a training machine. It also includes information about the variation range of joint angles for the user when training with the machine.

The system uses a processor to extract causal relationship information from the reference database based on the user's physical characteristics and the specified variation range. The extracted information must satisfy a predetermined relationship with the specified variation range.

  • The system proposes usage conditions for training machines based on the user's physical characteristics and the variation range of joint angles.
  • The system uses a reference database to extract causal relationship information that meets specific criteria.
  • The system helps optimize training conditions by considering the user's physical characteristics and the variation range of joint angles.

Potential Applications

This technology has potential applications in various fields, including:

  • Fitness and sports training: The system can propose optimal usage conditions for training machines based on the user's physical characteristics and joint angle variations. This can help improve the effectiveness and safety of training programs.
  • Rehabilitation: The system can suggest appropriate usage conditions for rehabilitation machines based on the user's physical condition and joint angle variations. This can aid in the recovery process and prevent further injuries.
  • Ergonomics: The system can provide recommendations for ergonomic adjustments in workstations based on the user's physical characteristics and joint angle variations. This can help reduce the risk of musculoskeletal disorders and improve overall comfort and productivity.

Problems Solved

This technology addresses several problems, including:

  • Lack of personalized training recommendations: The system considers the user's physical characteristics and joint angle variations to propose usage conditions that are tailored to individual needs. This helps optimize training programs and improve results.
  • Risk of injury: By taking into account the variation range of joint angles, the system can suggest usage conditions that minimize the risk of injury during training or rehabilitation.
  • Inefficient ergonomics: The system provides recommendations for ergonomic adjustments based on the user's physical characteristics and joint angle variations, helping to create more comfortable and efficient workstations.

Benefits

The use of this technology offers several benefits, including:

  • Personalized recommendations: The system provides usage conditions that are specific to each user's physical characteristics and joint angle variations, leading to more effective and personalized training programs.
  • Improved safety: By considering the variation range of joint angles, the system helps minimize the risk of injury during training or rehabilitation.
  • Enhanced ergonomics: The system suggests ergonomic adjustments based on the user's physical characteristics and joint angle variations, promoting better posture and reducing the risk of musculoskeletal disorders.


Original Abstract Submitted

A usage condition proposal system includes a storage medium that stores a reference DB having a plurality of pieces of causal relationship information that includes training information and variation range information, the training information including physical information for a user and usage condition information for a training machine, variation range information indicating a variation range of a joint angle of at least one joint of the user when the user trains using the training machine based on the usage condition information. A processor is configured to extract, with reference to the reference DB, based on the physical information and the specified variation range information, the causal relationship information of which the variation range information indicates the variation range satisfying a predetermined relationship with the specified variation range.

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