Survey on Hand Gesture Controlled Wheelchair

2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 2013

This study focuses on the early stages of developing and testing an interactive approach for gesture-based wheelchair control that could facilitate the user in various tasks such as cooking and food serving. The proposed method allows a user to hold an object (tray, saucepan, etc) with both hands and to control at the same time the wheelchair direction via changing the position of his/her arms. The wheelchair control system contains an image sensor directed to the user's arms. Sensor signals are processed via an image-recognition algorithm and the calculations for the arm positions are used for the computation of the wheelchair steering signals. Thus, the wheelchair direction depends on the arm positions and the user can control the wheelchair by moving his/her arms. An initial wheelchair prototype, operated by the intentional motions of one hand, was built and was tested by several initial experiments.

This paper may be helpful in making the living of handicapped people easy which will be helpful for the handicapped people to drive their wheelchair through figure operation. It is an opportunity to be a handicapped as independent. System comprises of integration of finger operation using digital image processing and embedded technology.According to the World Health Organization (WHO), between the 7 and 10% of the population worldwide suffer from some physical disability. In Latin-America the physically disabled are estimated in 55 million people, which represent the 9% of its total population. This census indicates that the most common disability is motor, followed by blindness, deafness, intellectual and language. All alone, the motor-disabled achieve 20 million in Latin-America and there is an anticipated continued growth due to increasing aging, longevity and accident related injuries. Wheelchairs make up a significant portion of the mobility assistive devices in use for those. Since the 1930s, the design concept of a wheelchair has been the same: a main frame, two large rear wheels and two small front wheels called casters. This basic design has been used to develop many of today' wheelchairs by applying slight design modifications to produce lighter, more durable and more comfortable wheelchairs for people who use them on a daily basis. Finally it means that is affordable and beneficial by the people.

Iranian Journal of Mechanical Engineering The Iranian Society of Mechanical Engineers, 2022

In this paper, a gadget for controlling an electric wheelchair (EWC) is designed. The device is designed based on the combination of acceleration sensor data from head rotation, and image processing data from user’s face recognition, for commanding to the EWC. This gadget designed as a wearable device and is developed low cost, safe, and flexible for the patients with spinal cord injuries as well as the elderly with limited hand use. The mechanical design, sensor tuning, and 3Dprinted prototype of the gadget are presented. Finally the result of experimental test is discussed. Acceleration sensor module and camera and Raspberry Pi board are the core of the gadget. For performance evaluation, several experiments have been performed. The commands sent by the user are divided into four control commands (right, stop, move, left). Forward movement command, is performed by showing a happy expression on the face. The experiments show that the head angle controller and the image processor react to the stop in the shortest time, which indicates that it has a high level of safety.

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI), 2020

In the old day, wheelchairs are moved manually by using hand or with the assistance of someone else. Users of this wheelchair get tired quickly if they have to walk long distances. The electric wheelchair emerged as a form of innovation and development for the manual wheelchair. This paper presented the control system of the electric wheelchair based on finger poses using the Convolutional Neural Network (CNN). The camera is used to take pictures of five-finger poses. Images are selected only in certain sections using Region of Interest (ROI). The five-finger poses represent the movement of the electric wheelchair to stop, right, left, forward, and backward. The experimental results indicated that the accuracy of the finger pose detection is about 93.6%. Therefore, the control system using CNN can be a potential solution for an electric wheelchair.

2016

The system consist of development of a wheel chair control. It is useful for physically disabled person with his hand movement with the help of hand gesture recognition. The system is classified into gesture unit and wheelchair unit. This wheelchair can be control by simple hand gestures. It consist a Accelerometer sensor which is control the wheelchair hand gesture made by the users and clarify the motion consist by user and moves accordingly. When we changed the ways, the sensor registers values are changed & that values are given to lpc2138 controller. Depending on the direction of the Acceleration, ARM7 controller controls the wheelchair ways like LEFT, RIGHT, FORWARD, & BACKWARD. The purpose of this system is to implement wheelchair direction control with hand gesture reorganization.

International Journal of Latest Trends in Engineering and Technology, 2016

I. INTRODUCTION Gestures are expressive meaningful body motions-i.e. the movements of any part of the body such as fingers, hands, arms, head, face, or body itself with the intent to convey some required information or interact with the environment. So many aspects of gestures are there that may be relevant and therefore may need to be represented explicitly. It can be categorized as follows:  Spatial information-Where it occurs, locations a gesture refers to.  Pathic information-The path that a gesture takes.  Symbolic information-The sign that a gesture makes.  Affective information-The emotional quality of a gesture. The number of senior citizens and handicapped people are increasing and accordingly the need of human friendly wheelchair is also consistently increased. Traditional power wheelchairs are having buttons or joysticks for controlling the wheelchair but some disable people are so affected that they can't even apply that much force because of psychomotor problems. Human interface of intelligent wheelchair for easy operation is the most popular research area. Yi Zang, Jiao Zang [1], proposed an intelligent wheelchair system based on hand gesture recognition again but they were used neural network concept and trained the system, In this article that factor by using classification techniques has been removed and real time approach is used.

In this paper we presented an intangible hand gesture based computer mouse control system. Our approach uses a novel skin color segmentation technique to control mouse movement. The system uses morphological operations like structuring elements and blob counting. Our system can remove other skin like objects from the background. One of the key features of the system is its simplicity. We have successfully tested our system for an intangible interface between human hand and computer mouse without any complex processing. Various mouse operations like cursor movements, right click and left click have been performed. The system has been implemented using webcam and MATLAB.

Journal of healthcare engineering, 2018

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 d...

In today's world, physically handicapped person & elder peoples are depending on others peoples. But today's world becomes fast, everyone is very busy & there are few peoples to take care of these peoples properly. They find the automated wheelchairs for an easy transportation for these physical disable persons. The proposed work is to design & develop a hand gesture based wheelchair using Gesture Control System. Wheelchairs are used by which person who cannot walk due to physiological, injury or any disability. Recent development promises a wide scope in developing hand gesture based wheel chair or smart wheelchairs. The present article presents an accelerometer sensor using gesture based wheelchair which controls the direction of wheelchair using hand movements. This paper presents a model for hand Gesture controlled user interface and identifies trends in current technology, application and usability. We present very useful an integrated approach to real time detection, hand gesture based data glove technique is very used which controls the wheelchair using hand movements by using the accelerometer sensor. This paper proposed a low voltage supply, low-cost and small 3-axis wireless system to control the wheelchair using AVR microcontroller.

– Robots of the future should communicate with humans in a natural way. Hence, we are especially interested in hand motion based gesture interfaces. The purpose of this study was to present a reliable means for human-computer interfacing based on hand gestures made in three dimensions, which could be interpreted and adequately used in controlling a remote robot's movement. In this paper we discuss the development of a novel architecture of an intelligent wheelchair working on wireless hand gesture control and not by the usual method of keypad for the physically handicapped people. Unlike others before it, this project also has a distress call system (GSM) to alert the concerned people or family in times of necessity for the person, by the person himself/herself from an alert switch or when there is any sudden detection of edge or staircase during backward motion, thus saving the chair from accidents. The locomotion of the wheelchair is controlled by a MCU (microcontroller). The physically handicapped people will have the option of controlling the system through hand gesture wirelessly from ranges up to several meters and will have the independence of using the wheelchair without the help of any other people.