Literature DB >> 17282298

Wireless Real-Time Head Movement System Using a Personal Digital Assistant (PDA) for Control of a Power Wheelchair.

D A Craig1, H T Nguyen.   

Abstract

Loss of mobility can occur for a variety of reasons,such as spinal cord injury or motor neurone disease. The onset of these conditions often brings with it an associated loss of personal independence, which is primarily due to the fact that the sufferer is no longer able to control their mobility. This project aims to address this problem through the creation of a head movement based wheelchair control system. Using a personal digital assistant (PDA) artificial intelligence techniques on an embedded LINUX operating system, a wireless head movement wheelchair control system has been designed and implemented. This system provides relief for sufferers of conditions which inhibit mobility through a method of wheelchair control which offers enhanced ease of use, attractiveness and independence.

Entities:  

Year:  2005        PMID: 17282298     DOI: 10.1109/IEMBS.2005.1616529

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Using unconstrained tongue motion as an alternative control mechanism for wheeled mobility.

Authors:  Xueliang Huo; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2009-04-07       Impact factor: 4.538

Review 2.  Non-invasive control interfaces for intention detection in active movement-assistive devices.

Authors:  Joan Lobo-Prat; Peter N Kooren; Arno H A Stienen; Just L Herder; Bart F J M Koopman; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2014-12-17       Impact factor: 4.262

3.  Development of a training paradigm for voluntary control of the peri-auricular muscles: a feasibility study.

Authors:  Siwaphorn Chanthaphun; Sandy L Heck; Carolee J Winstein; Lucinda Baker
Journal:  J Neuroeng Rehabil       Date:  2019-06-14       Impact factor: 4.262

4.  Recovery of Distal Arm Movements in Spinal Cord Injured Patients with a Body-Machine Interface: A Proof-of-Concept Study.

Authors:  Camilla Pierella; Elisa Galofaro; Alice De Luca; Luca Losio; Simona Gamba; Antonino Massone; Ferdinando A Mussa-Ivaldi; Maura Casadio
Journal:  Sensors (Basel)       Date:  2021-03-23       Impact factor: 3.576

  4 in total

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