Robot Grip Feedback for Brain Function Testing and Training
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Solution Overview
Problem
Current technologies lack effective methods for diagnosing and training the brain function of individuals, particularly in a user-friendly and interactive manner, especially as cognitive functions tend to deteriorate with age.
Innovation Solution
A robot equipped with sensors and a processor that acquires physical information, such as grip strength, to determine the user's brain function and perform examination or training operations based on the acquired data, using a combination of sensors, a control unit, and a user interface to interact with the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a robot performs brain function examination and training operations, then the effectiveness of cognitive function diagnosis and training is improved, but the device complexity increases
Solution Approach 1:
The robot hand serves multiple functions: it is both the examination object (measuring grip strength) and the examination tool (performing training operations). This multi-functionality reduces the need for separate specialized devices, thereby improving diagnostic effectiveness while controlling system complexity.
Solution Approach 2:
The robot measures grip strength as feedback information about the user's physical function, then uses this feedback to automatically adjust and control training operations. This closed-loop feedback mechanism ensures effective cognitive function diagnosis and training while automating the process to manage system complexity.
2Ease of operation
If the robot acquires physical information through holding portion interaction, then the ease of operation is improved, but the measurement precision may be affected
Solution Approach 1:
The user performs the measurement action themselves by naturally gripping the robot hand, without requiring external measurement equipment or complex procedures. This self-service approach simplifies operation while the robot's sensors accurately capture the grip strength data for precise measurement of physical function.
Data Source
AI summary
In a robot, an actuator causes the robot to operate. A processor is configured to acquire, when a holding portion is held by a predetermined target, physical information on a physical function of the predetermined target, and cause, by controlling the actuator depending on the acquired physical information, the robot to perform at least one of an examination operation for examining the physical function of the predetermined target and a training support operation for training the physical function of the predetermined target.