Intelligent Control Wheelchair Using a New Visual Joystick

被引:23
作者
Rabhi, Yassine [1 ]
Mrabet, Makrem [1 ]
Fnaiech, Farhat [1 ]
机构
[1] Univ Tunis, ENSIT, Lab SIME, 5 Av Taha Hussein, Tunis 1008, Tunisia
关键词
GESTURE RECOGNITION; HAND TRACKING; REHABILITATION; BRAIN; EXOSKELETON;
D O I
10.1155/2018/6083565
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
A new control system of a hand gesture-controlled wheelchair (EWC) is proposed. This smart control device is suitable for a large number of patients who cannot manipulate a standard joystick wheelchair. The movement control system uses a camera fixed on the wheelchair. The patient's hand movements are recognized using a visual recognition algorithm and artificial intelligence software; the derived corresponding signals are thus used to control the EWC in real time. One of the main features of this control technique is that it allows the patient to drive the wheelchair with a variable speed similar to that of a standard joystick. The designed device "hand gesture-controlled wheelchair" is performed at low cost and has been tested on real patients and exhibits good results. Before testing the proposed control device, we have created a three-dimensional environment simulator to test its performances with extreme security. These tests were performed on real patients with diverse hand pathologies in Mohamed Kassab National Institute of Orthopedics, Physical and Functional Rehabilitation Hospital of Tunis, and the validity of this intelligent control system had been proved.
引用
收藏
页数:20
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