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Wearable System for Device Control using Bio-Electrical Signal


Affiliations
1 Department of Electronics, Instrumentation and Control Engineering, University of Petroleum and Energy Studies, Dehradun - 248007, Uttarakhand, India
2 Department of Electronics and Communication Engineering, Greater Noida Institute of Technology, Greater Noida - 201306, Uttar Pradesh, India
 

In today’s world, wearable devices are progressively being used for the enhancement of the nature of the life of individuals. Human Machine Interface (HMI) has been studied for dominant the mechanical device rehabilitation aids through biosignals like EOG and EMG etc., and so on. EMG signals have been studied in detail due to the occurrence of a definite signal pattern. The current proposal focuses on the advancement of a Wearable Device control by using EMG signals of hand movements for controlling the electronic devices. EMG signals are utilized for the production of the control indicators to develop the device control. Also, an EMG sign procurement framework was produced. To create different control signals relying on the sufficiency and length of time of signal segments, the obtained EMG signals were then prepared for device control.

Keywords

Electromyography (EMG), HMI, Wrist movements, Wearable.
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  • Wearable System for Device Control using Bio-Electrical Signal

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Authors

Anshuman Prakash
Department of Electronics, Instrumentation and Control Engineering, University of Petroleum and Energy Studies, Dehradun - 248007, Uttarakhand, India
Mukesh Kumar Ojha
Department of Electronics and Communication Engineering, Greater Noida Institute of Technology, Greater Noida - 201306, Uttar Pradesh, India
Manpreet Kaur Khurana
Department of Electronics, Instrumentation and Control Engineering, University of Petroleum and Energy Studies, Dehradun - 248007, Uttarakhand, India
Rajesh Singh
Department of Electronics, Instrumentation and Control Engineering, University of Petroleum and Energy Studies, Dehradun - 248007, Uttarakhand, India

Abstract


In today’s world, wearable devices are progressively being used for the enhancement of the nature of the life of individuals. Human Machine Interface (HMI) has been studied for dominant the mechanical device rehabilitation aids through biosignals like EOG and EMG etc., and so on. EMG signals have been studied in detail due to the occurrence of a definite signal pattern. The current proposal focuses on the advancement of a Wearable Device control by using EMG signals of hand movements for controlling the electronic devices. EMG signals are utilized for the production of the control indicators to develop the device control. Also, an EMG sign procurement framework was produced. To create different control signals relying on the sufficiency and length of time of signal segments, the obtained EMG signals were then prepared for device control.

Keywords


Electromyography (EMG), HMI, Wrist movements, Wearable.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i43%2F123494