A Position Detecting System Using Supersonic Sensors for Omnidirectional Wheelchair Tennis

The wheelchair with good performance for the aged and disabled is attracting attention from the society. Also, the wheelchair can provide the user with many benefits, such as maintaining mobility, continuing or broadening community social activities, conserving energy and enhancing quality of life. The wheelchair body must be compact enough and should be able to make different movements in order to have many applications. In our previous work, we presented the design and implementation of an omnidirectional wheelchair. In this paper, we propose a position detecting system using supersonic sensors. The proposed system can find correctly the wheelchair position for collision avoidance.

[1]  Minoru Kurosawa,et al.  A linearization-based method of simultaneous position and velocity measurement using ultrasonic waves , 2015 .

[2]  Yoshikazu Mori,et al.  Development of a Wheelchair with a Lifting Function , 2012, ICINCO.

[3]  Leonard Barolli,et al.  Implementation and Evaluation of a Small Size Omnidirectional Wheelchair , 2015, 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops.

[4]  Huosheng Hu,et al.  Head gesture recognition for hands-free control of an intelligent wheelchair , 2007, Ind. Robot.

[5]  Yiannis Demiris,et al.  Collaborative Control for a Robotic Wheelchair: Evaluation of Performance, Attention, and Workload , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[6]  Pablo F. Diez,et al.  Asynchronous BCI control using high-frequency SSVEP , 2011, Journal of NeuroEngineering and Rehabilitation.

[7]  Axel Gräser,et al.  A BCI-controlled robotic assistant for quadriplegic people in domestic and professional life , 2011, Robotica.

[8]  Rory A. Cooper,et al.  The Personal Mobility and Manipulation Appliance (PerMMA): A robotic wheelchair with advanced mobility and manipulation , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Yuto Tanaka,et al.  Detecting system of approaching vehicles using an ultrasonic wave , 2016, 2016 IEEE International Conference on Consumer Electronics (ICCE).

[10]  Christian Laugier,et al.  Multimodal control of a robotic wheelchair: Using contextual information for usability improvement , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  C. Galindo,et al.  A description of the SENA robotic wheelchair , 2006, MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference.

[12]  Yoshinori Kobayashi,et al.  Robotic wheelchair based on observations of people using integrated sensors , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Kohei Arai,et al.  A Prototype of ElectricWheelchair Controlled by Eye-Only for Paralyzed User , 2011, J. Robotics Mechatronics.

[14]  Leonard Barolli,et al.  Design and Implementation of an Omnidirectional Wheelchair: Control System and Its Applications , 2014, 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications.

[15]  H. Miyamoto,et al.  Collision-Detecting Device for Omnidirectional Electric Wheelchair , 2013 .

[16]  J. O. Gray Thought for food , 2007 .