Kinect-based Powered Wheelchair Control System

2013 ◽  
Author(s):  
Ching-Lung Chang ◽  
Chiou-Chi Chen ◽  
Chang-Yi Chen ◽  
Bo-Shiu Lin
Keyword(s):  
Control System ◽  
Powered Wheelchair ◽  
Wheelchair Control

scholarly journals Ultrasonic Tethering to Enable Side-by-Side Following for Powered Wheelchairs

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 109
Author(s):  
Theja Pingali ◽  
Edward Lemaire ◽  
Natalie Baddour
Keyword(s):  
Control System ◽  
Mental Stress ◽  
Control Algorithm ◽  
Ultrasonic Transducers ◽  
Social Activities ◽  
Social Situations ◽  
Plug And Play ◽  
Powered Wheelchair ◽  
Drive Control ◽  
Wheelchair Control

In social situations, people who use a powered wheelchair must divide their attention between navigating the chair and conversing with people. These conversations could lead to increased mental stress when navigating and distraction from maneuvering the chair. As a solution that maintains a good conversation distance between the wheelchair and the accompanying person (Social Following), a wheelchair control system was developed to provide automated side-by-side following by wirelessly connecting the wheelchair to the person. Two ultrasonic range sensors and three piezoelectric ultrasonic transducers were used to identify the accompanying person and determine their position and heading. Identification involved an ultrasonic beacon worn on the person’s side, at hip level, and receivers on the wheelchair. A drive control algorithm maintained a constant conversation distance along the person’s trajectory. A plug-and-play prototype was developed and connected to a Permobil F5 Corpus wheelchair with a modified Eightfold Technologies SmartChair Remote. Results demonstrated that the system can navigate a wheelchair based on the accompanying person’s trajectory, which is advantageous for users who require hands-free wheelchair control during social activities.

ALTERNATIVE WHEELCHAIR CONTROL INVOLVING INTENTIONAL MUSCLE CONTRACTIONS

2009 ◽  
Vol 18 (03) ◽  
pp. 439-465 ◽  
Author(s):  
TORSTEN FELZER ◽  
BRUNO STRAH ◽  
RAINER NORDMANN ◽  
SEBASTIAN MIGLIETTA
Keyword(s):  
Control System ◽  
User Interface ◽  
Real Life ◽  
Sensory Information ◽  
Severe Disabilities ◽  
Usual Method ◽  
Powered Wheelchair ◽  
Intelligent Wheelchair ◽  
Control Principle ◽  
Wheelchair Control

This paper deals with various ways of controlling an electrically powered wheelchair beyond the usual method involving a manual joystick. The main focus is on the newest version of HaWCoS – the "HAnds-free Wheelchair COntrol System" – allowing persons with severe disabilities to reliably navigate a power wheelchair without the need to use the hands. All the user has to do is to produce a sequence of tiny contractions of an arbitrary muscle, e.g., by raising the eyebrow. The working prototype of the system, which has been realized as a stand-alone device, is introduced in detail, together with a closer look at the muscle-based control principle and a brief description of a PC-based simulator. The advantages and the drawbacks of the system are discussed on the basis of a rather simple real-life experiment. The paper also elaborates on possible approaches to improve HaWCoS (by reducing or eliminating its problems) in the future. In addition to a quick software solution and a controller implementation involving supplemental sensory information, planned "improvements" include the development of an "intelligent wheelchair" with HaWCoS being some sort of a prototype for the User Interface component.

Universal Android-Based Kit for Wireless Control of Wheelchairs

2014 ◽  
Author(s):  
Paul Mitzlaff ◽  
Robert Niznik ◽  
Redwan Alqasemi ◽  
Rajiv Dubey
Keyword(s):  
Control System ◽  
User Interface ◽  
Similar Data ◽  
Wheelchair Users ◽  
Powered Wheelchair ◽  
Wireless Control ◽  
Control Interface ◽  
Intuitive User Interface ◽  
Wheelchair Control

The use of apps on hand-held devices has the potential to offer advancements in controlling many devices with an intuitive user interface, including power wheelchair control. Many powered wheelchair users require special adaptations to their control interface in order to drive the chair. This paper presents the development and testing of an Android based control system for a powered wheelchair. The control system utilizes the Android device’s sensors to control the wheelchair. The device can be attached to various parts of the user’s body which the user can move to control the wheelchair. The accelerometers in the device are used to drive the chair using Bluetooth technology connected to the wheelchair’s control system. Subject testing was performed with the user holding the Android device in their hand while they performed a variety of structured tasks. These series of tasks were duplicated while the Android device was attached to their hat and again when strapped to the upper left arm. The results from the collected data on specific metrics were compared against similar data when the wheelchair is controlled using a standard wheelchair joystick.

Control System of Powered Wheelchairs Based on Tongue Motion Detection

2016 ◽  
Vol 8 (4) ◽  
pp. 60-75
Author(s):  
Liao Lu ◽  
Ping Yi Deng ◽  
Ying Wu ◽  
Jie Jun Bai ◽  
Yun Xiao Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Intelligent Control ◽  
Motion Detection ◽  
Potential Application ◽  
Low Cost ◽  
Control Mode ◽  
Powered Wheelchair ◽  
Embedded Controller ◽  
Tongue Motion

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.

Powered wheelchair control based on the dynamical criteria of stability

Mechatronics ◽  
2002 ◽  
Vol 12 (4) ◽  
pp. 543-562 ◽  
Author(s):  
George Boiadzjiev ◽  
Dimiter Stefanov
Keyword(s):  
Powered Wheelchair ◽  
Wheelchair Control
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