Six-axis force sensor haptics interaction system and method based on internet of things

By using a six-axis force sensor force interaction system based on the Internet of Things, the system collects and analyzes the patient's force data in real time. Combined with network conditions, it enables compliant control, which solves the problem of untimely device response caused by network latency in remote rehabilitation. This achieves accurate assessment and safety protection, and improves the real-time performance and safety of remote rehabilitation training.

CN122201699APending Publication Date: 2026-06-12CHENGDU QINCHUAN IOT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHENGDU QINCHUAN IOT TECH CO LTD
Filing Date
2026-03-17
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

In remote rehabilitation scenarios, due to network latency and jitter, rehabilitation equipment cannot respond to changes in the patient's sense of force in real time, leading to human-machine conflict and secondary injury. Furthermore, it lacks an advance compensation mechanism based on muscle strength trends, resulting in insufficient adaptability.

⚗Method used

The system employs an IoT-based six-axis force sensor force interaction system. It collects patients' force data in real time through six-axis force sensing components, combines equipment operation data and network conditions, dynamically sets network tolerance thresholds, switches between remote control and local safety modes in real time, and uses preset sampling frequency and trend prediction models for compliant control compensation.

🎯Benefits of technology

It enables accurate assessment and security protection under network latency conditions, ensuring interactive accuracy when communication is normal and local security when the network is abnormal, thus improving the real-time performance and security of remote rehabilitation training.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a six-axis force sensor force perception interaction system and method based on the Internet of Things. The method comprises the following steps: collecting real-time force perception data of a target part of a patient based on a preset sampling frequency, and obtaining device operation data of an execution mechanism; determining local control parameters based on rehabilitation data of the patient, the real-time force perception data, and the device operation data; in response to a packet loss rate of a communication link being lower than or equal to a network tolerance threshold, obtaining a remote control instruction, correcting a driving parameter of the remote control instruction, determining a corrected driving parameter, and driving the execution mechanism to move based on the corrected driving parameter; and in response to the packet loss rate of the communication link being higher than the network tolerance threshold, driving the execution mechanism to move based on a protection action parameter. The above method can perform soft control compensation in advance before network data arrives, eliminate the rigid impact feeling caused by transmission delay, and realize accurate evaluation of remote rehabilitation.
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