Simulation of Gait Based Wearable Energy Harvesting using Human Movement
Mohankumar V.1, G. V. Jayaramaiah2

1Mohankumar V., Research Scholar, Department of Electronics and Communication Engineering, Dr. Ambedkar Institute of Technology, Bengaluru,  Karnataka, India.
2Dr. G. V. Jayaramaiah, Professor and Head Department of Electrical and Electronics Engineering, Dr. Ambedkar Institute of Technology, Bengakuru, Karnataka, India.
Manuscript received on January 10, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 1161-1165 | Volume-9 Issue-4, February 2020. | Retrieval Number: C8667019320/2020©BEIESP | DOI: 10.35940/ijitee.C8667.029420
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Abstract: The portability of power for human health monitoring is considered a challenge for years to come and the recent development in wearable devices has encouraged this research area. This paper develops a composite energy harvesting paradigm that combines piezoelectricity and electromechanical energy production to energize the storage batteries powering wearable devices. A composite mathematical model that combines the piezoelectric process along with the electromechanical process comprising the piston action is developed using Matlab TM. The piezoelectric power is considered to be generated from the pressure created by human weight on it while walking and electromechanical power generated from the limb movement of the human being. The energy thus harvested from both these inputs are consolidated and fed to charge the batteries that feed the wearable sensors. The Lithium-Ion battery of 1.2V rated voltage is charged using the power generated from the mathematical models of both the piezoelectric and electromechanical power generation. The energy generated is found to be satisfactorily charging the battery. 
Keywords:  Gait Based Energy Harvesting, Wearable Devices, Piezo-Electricity, Composite Energy Model.
Scope of the Article:  Composite Materials