Kumar / Arjunan Human Computer Interface Technologies for the Motor Impaired

Erscheinungsjahr 2015
ISBN: 978-1-4822-6267-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 214 Seiten

Reihe: Rehabilitation Science in Practice Series

This book provides insight into the potential interface technologies between humans and computers or computerized machines that are suitable for people who do not have the control of their hands. The book describes the past, present, and future human computer interface (HCI) technologies and the applications of these to better the lives of people living with disabilities and also other applications such as computer gaming and defense. The limitations and current research activities of HCI technologies are highlighted as well.

Autoren/Hrsg.

Kumar, Dinesh K.

Arjunan, Sridhar Poosapadi

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie Medizinische Biotechnologie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Physiotherapie, Physikalische Therapie

Inhaltsverzeichnis

Introduction. Mechanical Sensors for HCI- Smart Glove. Thought-Based Brain Wave HCI. Evoked Potential Brain Wave HCI. Myoelectric-Based Hand Gesture Recognition. Video-Based Hand Gesture. Electrooculargram-Based System. Video-Based Eye Tracking. Speech-Based HCI. Video-Based Lip Reading.

Über Autor(innen)

Dinesh K Kumar obtained his PhD from IIT Madras and his PhD in Biomedical Engineering from IIT Delhi and AIIMS, Delhi. He is Professor and Leader for Biomedical Engineering at RMIT University, Melbourne, Australia. He has published over 330 refereed papers in the field, and his interests include muscle control, affordable diagnostics, and human computer interface. He is an editor on multiple journals and chairs a range of conferences related to Biomedical Engineering.

Sridhar Poosapadi Arjunan received PhD in Biomedical Signal Processing from RMIT University, Australia, in 2009. He is currently a postdoctoral research fellow with Biosignals Lab at RMIT University. He is a recipient of RMIT SECE Research Scholarship (2006–2008), CASS Australian Early Career Researcher grant (2010), and Australia-India ECR fellowship (2013). He has published over seventy research articles and co-authored a book titled Devices for Mobility and Manipulation for People with Reduced Abilities published in 2014. His major research interests include biomedical signal processing, rehabilitation study, fractal theory, and human computer interface applications.

Mohd Zul Che Azemin received his PhD from RMIT University, Australia, in 2012. He is currently working as an assistant professor at the International Islamic University, Malaysia. He has published over twenty research articles. His research interests include image processing, retinal image analysis, and biometrics.