Low-cost smart electric wheelchair with destination mapping and intelligent control features

Author(s):  
Celia Shahnaz ◽  
Ahmed Maksud ◽  
Shaikh Anowarul Fattah ◽  
Sayeed Shafayet Chowdhury
2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Yassine Rabhi ◽  
Makrem Mrabet ◽  
Farhat Fnaiech

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.


2020 ◽  
Vol 2 (6) ◽  
pp. 55-59
Author(s):  
Arghya Guha ◽  
Bodha Krishna ◽  
Gautham M Sam ◽  
Mekala Serena Sherrilyn ◽  
Sivakumar N
Keyword(s):  
Low Cost ◽  

Author(s):  
Liao Lu ◽  
Ping Yi Deng ◽  
Ying Wu ◽  
Jie Jun Bai ◽  
Yun Xiao Zhang ◽  
...  

A new intelligent powered wheelchair is urgently needed for the individuals with tetraplegia and similar impairments who are unable to use the standard joystick. Based on the tongue motion detection, a new control system is introduced in this paper which is helpful for users to operate powered wheelchair efficiently and easily. This article introduces two control modes, including tongue motion control mode and infrared control mode. Wherein the infrared control mode mainly use the infrared controller. The tongue motion can be detected with several vibration film sheets that were embedded in the headset and a standard analog signal can be generated with embedded controller to control the wheelchair. The tongue motion drive system integrated into headset was developed and the control of the wheelchair has been tested moving along the designed route. Preliminary results show that the system is simple and convenient to control powered wheelchair with low cost, which has potential application in intelligent control domain.


2015 ◽  
Vol 13 (10) ◽  
pp. 3221-3227 ◽  
Author(s):  
Roberto Morales Caporal ◽  
Aldo Vazquez Leon ◽  
Rafael Ordonez Flores ◽  
Edmundo Bonilla Huerta ◽  
Jose Crispin Hernandez Hernandez

Author(s):  
F. Lara-Rojo ◽  
E. N. Sánchez ◽  
D. Zaldí­var-Navarro

Fuzzy techniques have been successfully used in control in several fields, and engineers and researchers are today considering fuzzy logic algorithms in order to implement intelligent functions in embedded systems. We have started to develop a set of teaching tools to support our courses on intelligent control. Low cost implementations of didactic systems are particularly important in developing countries. In this paper we present the implementation of a minimal PD fuzzy four-rule algorithm in a lowcost 8-bit microcontroller, using a fuzzy logic software development system. On this ground we constructed a stand-alone fuzzy controller for a didactic liquid level system. We describe the methodology we followed, and present simulation and real time results of this controller.


Author(s):  
Ahmed Maksud ◽  
Rakibul Islam Chowdhury ◽  
Tanima Tasmin Chowdhury ◽  
Shaikh Anowarul Fattah ◽  
Celia Shahanaz ◽  
...  

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