Multi-Functional Hybridized Units for Self-Sustainable IoT Sensing and Ultra-Low Frequency Energy Harvesting

Guo, Xinge1; Wang, Fei2; Liu, Huicong3; Lee, Chengkuo1

10.1109/PowerMEMS54003.2021.9658392

2021

20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)

978-1-6654-2219-2

20TH INTERNATIONAL CONFERENCE ON MICRO AND NANOTECHNOLOGY FOR POWER GENERATION AND ENERGY CONVERSION APPLICATIONS (POWERMEMS 2021)

64-67

DEC 06-08, 2021

null,null,ELECTR NETWORK

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

In this manuscript, we reported two multifunctional units aiming at providing a promising monitoring platform applied in walking sticks for elderly and motion impaired people. One rotational unit equipped with an electromagnetic generator (EMG) and linear-to-rotary structure is proposed to harvest the ultra-low frequency linear motion of a walking stick and serve as the sustainable power supply for an Internet of Things (IoT) sensing system. And one hybridized unit further integrated with two self-powered triboelectric sensors to extract the motion features of the walking stick is designed to achieve multi-functional monitoring of users with deep learning technology. Promisingly, the walking stick equipped with proposed units shows a great potential of being an intelligent aid for motion-impaired users to help them live a life with adequate autonomy and safety.

Triboelectric hybridized energy harvesting ultra-low frequency internet of things

其他

英语

CPCI-S ; EI

National Key Research and Development Program of China, China at NUSRI, Suzhou, China["2019YFB2004800","R-2020-S002"] ; RIE Advanced Manufacturing and Engineering (AME) programmatic grant "Nanosystems at the Edge" at NUS, Singapore[A18A4b0055] ; Singapore-Poland Joint Grant[R263-000-C91-305]

Energy & Fuels ; Engineering ; Science & Technology - Other Topics ; Physics

Energy & Fuels ; Engineering, Electrical & Electronic ; Nanoscience & Nanotechnology ; Physics, Applied

WOS:000764181900017

20220811668076

Deep learning ; Internet of things ; Walking aids

Ergonomics and Human Factors Engineering:461.4 ; Rehabilitation Engineering and Assistive Technology:461.5 ; Biomedical Equipment, General:462.1 ; Energy Conversion Issues:525.5 ; Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723

Web of Science

1.Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore
2.Southern Univ Sci & Technol, Sch Microelect, Shenzhen, Peoples R China
3.Soochow Univ, Sch Mech & Elect Engn, Suzhou, Peoples R China

Guo, Xinge,Wang, Fei,Liu, Huicong,et al. Multi-Functional Hybridized Units for Self-Sustainable IoT Sensing and Ultra-Low Frequency Energy Harvesting[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2021:64-67.