Novel Extension Control Instrument for Power Wheelchair Based on Kalman Filter Head Motion Detection
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Published:2024-04-11
Issue:4
Volume:13
Page:141
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ISSN:2076-0825
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Container-title:Actuators
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language:en
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Short-container-title:Actuators
Author:
Zhang Yixin12ORCID, Ying Zhuohang1, Tian Xinyu1, Jin Siyuan1, Huang Junjie1ORCID, Miao Yinan3ORCID
Affiliation:
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China 2. Tianmushan Laboratory, Hangzhou 310023, China 3. School of Mechanical Engineering, Tsinghua University, Beijing 100084, China
Abstract
People with upper limb disabilities or high quadriplegia have extremely high requirements for the maneuverability and functionality of power wheelchairs. Normal wheelchairs cannot meet travel tasks, while smart customized wheelchairs are expensive and cannot be popularized. Therefore, a novel extension control instrument for power wheelchairs with low cost, strong scalability, and convenient usage is proposed, which can realize the control of the wheelchair by sensing a change of head posture. The device is divided into a head motion sensing unit (HMSU) and a wheelchair assistance control unit (WACU). The mapping relationship between the head attitude and the subject’s motion intention is established. The inertial measurement module in the HMSU collects the head attitude data and uses the Kalman filtering method to obtain the accurate Euler angle. The WACU is fixed on the original controller of the wheelchair. The joystick is inserted into the extended control mechanism and controlled, instead of the hand, through a 2-degree-of-freedom servo system combined with the pinion and rack push rod structure, thus controlling the movement of the wheelchair. In proceeding, the system can also detect the distance of objects in the environment in real time through the three-direction (front, left, right) ultrasonic ranging sensors installed on the WACU, with a certain obstacle avoidance function. The prototype experiments prove that the extension control instrument developed in this paper based on the Kalman filter can quickly and accurately identify head motion and accurately control the movement of the wheelchair. It is easy to operate and has strong universality, which presents a new low-cost solution for the travel of patients with disabilities.
Funder
National Natural Science Foundation of China China Postdoctoral Science Foundation
Reference21 articles.
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