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  • EMERGING 2027, The Nineteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2027, The Sixteenth International Conference on Data Analytics
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  • VALID 2027, The Nineteenth International Conference on Advances in System Testing and Validation Lifecycle
  • SIMUL 2027, The Nineteenth International Conference on Advances in System Modeling and Simulation
  • SOTICS 2027, The Seventeenth International Conference on Social Media Technologies, Communication, and Informatics
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  • MODERN SYSTEMS 2027, International Conference of Modern Systems Engineering Solutions
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October 24, 2027 to October 28, 2027 - Nice, France

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  • AFIN 2027, The Nineteenth International Conference on Advances in Future Internet
  • CENICS 2027, The Twentieth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2027, The Twenty-First International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2027, The Thirteenth International Conference on Fundamentals and Advances in Software Systems Integration
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SustainableDigitalization 2027 Congress
October 24, 2027 to October 28, 2027 - Nice, France

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  • CADAT 2027, The Fourth International Conference on Accessible Digital Agriculture Technologies
  • CEEE 2027, The Third International Conference on Global Environment Ecosystem Equilibrium

 


ThinkMind // SENSORCOMM 2015, The Ninth International Conference on Sensor Technologies and Applications // View article sensorcomm_2015_2_50_10108


Integrated Smart Glove for Hand Motion Monitoring

Authors:
Brendan O'Flynn
Javier Torres Sanchez
James Connolly
Joan Condell
Kevin Curran
Philip Gardiner
Barry Downes

Keywords: Data glove; IMU; Virtual reality, Arthritis, Joint Stiffness, Hand Monitoring

Abstract:
Developments in Virtual Reality (VR) technology and its overall market have been occurring since the 1960s when Ivan Sutherland created the world’s first tracked head-mounted display (HMD) – a goggle type head gear. In society today, consumers are expecting a more immersive experience and associated tools to bridge the cyber-physical divide. This paper presents the development of a next generation smart glove microsystem to facilitate Human Computer Interaction through the integration of sensors, processors and wireless technology. The objective of the glove is to measure the range of hand joint movements, in real time and empirically in a quantitative manner. This includes accurate measurement of flexion, extension, adduction and abduction of the metacarpophalangeal (MCP), Proximal interphalangeal (PIP) and Distal interphalangeal (DIP) joints of the fingers and thumb in degrees, together with thumb-index web space movement. This system enables full real-time monitoring of complex hand movements. Commercially available gloves are not fitted with sufficient sensors for full data capture, and require calibration for each glove wearer. Unlike these current state-of-the-art data gloves, the UU / Tyndall Inertial Measurement Unit (IMU) glove uses a combination of novel stretchable substrate material and 9 degree of freedom (DOF) inertial sensors in conjunction with complex data analytics to detect joint movement. Our novel IMU data glove requires minimal calibration and is therefore particularly suited to the multiple application domains such as Human Computer interfacing, Virtual reality, the healthcare environment.

Pages: 45 to 50

Copyright: Copyright (c) IARIA, 2015

Publication date: August 23, 2015

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-425-1

Location: Venice, Italy

Dates: from August 23, 2015 to August 28, 2015

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