Artificial Intelligence-Enabled Caregiving Walking Stick Powered by Ultra-Low-Frequency Human Motion
Xinge Guo(Agency for Science, Technology and Research), Chengkuo Lee(National University of Singapore), Anxin Luo(Southern University of Science and Technology), Huicong Liu(National University of Singapore), Zixuan Zhang(National University of Singapore), Fei Wang(China National Offshore Oil Corporation (China)), Eldwin J. Ng(Agency for Science, Technology and Research), Tianyiyi He(National University of Singapore), Yao Zhu(Agency for Science, Technology and Research)
Cited by 153
Related Papers
A comprehensive review on piezoelectric energy harvesting technology: Materials, mechanisms, and applications
|Applied Physics Reviews|2018|869
Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications
|Advanced Science|2020|458
Micro electrostatic energy harvester with both broad bandwidth and high normalized power density
|Applied Energy|2017|419
Advances and Applications of Metal‐Organic Frameworks (MOFs) in Emerging Technologies: A Comprehensive Review
|Global Challenges|2023|349
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting
|Proceedings of the VLDB Endowment|2022|329