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Related Experiment Video

Updated: Sep 3, 2025

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

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Published on: April 12, 2016

IoT Wheelchair Control System Based on Multi-Mode Sensing and Human-Machine Interaction.

Jianwei Cui¹, Linwei Cui¹, Zizheng Huang¹

¹Institute of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.

|July 27, 2022

Summary

This study introduces an intelligent IoT wheelchair with advanced sensing and multimodal control. The smart wheelchair enhances user independence by integrating environmental awareness and diverse control options.

Keywords:

Internet of things human-machine interaction intelligent wheelchair multimode sensing remote control

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Last Updated: Sep 3, 2025

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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

Area of Science:

Robotics and Human-Computer Interaction
Internet of Things (IoT) applications in assistive technology

Background:

Traditional wheelchairs lack environmental sensing and offer limited control methods.
There is a need for advanced assistive devices that enhance user independence and safety.

Purpose of the Study:

To develop an intelligent Internet of Things (IoT) wheelchair with enhanced sensing and multimodal control capabilities.
To integrate occupant, wheelchair, and environmental data for improved user experience and safety.

Main Methods:

Utilized PAJ7620 for gesture recognition, GPS and IMU for positioning and motion sensing.
Integrated Lidar, DHT11, and BH1750 sensors for environmental data collection (road, temperature, humidity, light).
Implemented a fusion control scheme with rocker, gesture, and mobile app control via Tencent Cloud and MQTT protocol over an ESP8266 WiFi module.

Main Results:

The intelligent wheelchair successfully integrates occupant, environmental, and wheelchair status sensing.
Real-time data transmission and wheelchair control are achieved through a mobile application.
Multimodal control options (rocker, gesture, app) enhance user interaction and accessibility.

Conclusions:

The developed intelligent IoT wheelchair provides real-time environmental and occupant monitoring.
Fusion control and human-machine interaction via a mobile app offer a more intuitive and versatile user experience.
This technology has the potential to significantly improve the autonomy and safety of wheelchair users.