Ultralow-Frequency Biomechanical Energy Scavenging and Human Activity Recognition at Different Positions Using a Multifunctional Wearable Energy Harvester

被引:1
|
作者
Fan, Shuyu [1 ]
Fu, Mengyao [1 ]
Zhou, Yushan [1 ]
Hou, Dibo [1 ]
Zhang, Guangxin [1 ]
Cao, Yunqi [1 ]
机构
[1] Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金;
关键词
Vibrations; Coils; Human activity recognition; Biomechanics; Rotors; Energy harvesting; Magnets; Biomechanical energy transduction; human activity recognition (HAR); human-motion adaptability; multifunctional electromagnetic energy harvester; ultralow-frequency vibrations; wearable devices; HUMAN MOTION; SENSOR; VIBRATIONS; DESIGN;
D O I
10.1109/TIM.2024.3406823
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As a variety of wearable electronics with different functions have emerged, multifunctional devices with self-powered nature are desired for solving both problems of the tighter on-body wearing space and energy budget. Herein, we propose an eccentric-rotor-based multifunctional wearable electromagnetic vibration energy harvester (EMVEH) to function as an ultralow-frequency biomechanical energy scavenging device and a self-powered motion sensor for human activity recognition (HAR) at different positions, respectively. Kinetic simulations based on Euler-Lagrange equations provide a detailed understanding of its vibration pickup performance for effective energy scavenging and human-motion sensing. Results of comprehensive bench tests further verify its adaptability to excitations with ultralow frequencies (<5 Hz) and different directions, and the capability of mechanical excitation perception. Kinetic energy in limb motions during walking and running has been scavenged by a fabricated prototype into electric energy up to 221.49 mu W on average, whereas variations in multiple-feature-based profiles of output voltages in response to these human activities reflect repeatable and human-activity-related voltage patterns. On this basis, walking at 2-4 km/h and running at 4-8 km/h on a treadmill are recognized by these features and trained random forest (RF) classification models when the prototype is worn at the wrist, elbow, and ankle, respectively, all achieving high accuracies over 90%. Mutual constraints between dual design purposes of this multifunctional EMVEH are also fully discussed and released. Thus, the wearing-position-independent HAR performance combined with the efficient energy scavenging capability of our EMVEH expands the application range of wearable EMVEHs to more flexible and practical uses.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 49 条
  • [1] A multidirectional ultralow-frequency rotational energy harvester: Modeling and characterization
    Rui, Xiaobo
    Li, Hang
    Zhang, Yu
    Han, Xinxin
    Huang, Xinjing
    Feng, Hao
    Zhang, Hui
    Zeng, Zhoumo
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2023, 60
  • [2] A nonlinear hybrid energy harvester with high ultralow-frequency energy harvesting performance
    Kai Wang
    Huajiang Ouyang
    Jiaxi Zhou
    Yaopeng Chang
    Daolin Xu
    Huai Zhao
    Meccanica, 2021, 56 : 461 - 480
  • [3] A nonlinear hybrid energy harvester with high ultralow-frequency energy harvesting performance
    Wang, Kai
    Ouyang, Huajiang
    Zhou, Jiaxi
    Chang, Yaopeng
    Xu, Daolin
    Zhao, Huai
    MECCANICA, 2021, 56 (02) : 461 - 480
  • [4] Diamagnetic-levitation-based Electromagnetic Energy Harvester for Ultralow-frequency Vibrations and Human Motions
    Zhang, Kun
    Zhang, Bo
    Feng, Wei
    Liu, Zongyao
    Shen, Huipeng
    Liu, Baoguo
    SENSORS AND MATERIALS, 2023, 35 (01) : 25 - 38
  • [5] An eccentric mass-based rotational energy harvester for capturing ultralow-frequency mechanical energy
    Fan, Kangqi
    Hao, Jiayu
    Wang, Chenyu
    Zhang, Chao
    Wang, Weidong
    Wang, Fei
    ENERGY CONVERSION AND MANAGEMENT, 2021, 241
  • [6] Performance Optimization of Ultralow-Frequency Electromagnetic Energy Harvester Driven by Eccentric mass
    Liang, Jintao
    Zhang, Chao
    Fan, Kangqi
    MACHINES, 2023, 11 (07)
  • [7] Ultralow-frequency PiezoMEMS energy harvester using thin-film silicon and parylene substrates
    Jackson, Nathan
    Olszewski, Oskar Z.
    O'Murchu, Cian
    Mathewson, Alan
    JOURNAL OF MICRO-NANOLITHOGRAPHY MEMS AND MOEMS, 2018, 17 (01):
  • [8] Frequency up-converted piezoelectric energy harvester for ultralow-frequency and ultrawide-frequency-range operation
    Zhang, Xiyang
    Gao, Shiqiao
    Li, Dongguang
    Jin, Lei
    Wu, Qinghe
    Liu, Feng
    APPLIED PHYSICS LETTERS, 2018, 112 (16)
  • [9] An ultralow-frequency high-efficiency rotational energy harvester with bistability principle and magnetic plucking mechanism
    Rui, Xiaobo
    Li, Hang
    Zhang, Yu
    Sha, Zhou
    Feng, Hao
    Zeng, Zhoumo
    APPLIED PHYSICS LETTERS, 2024, 125 (20)
  • [10] Energy Efficient Human Activity Recognition Using Wearable Sensors
    Ding, Genming
    Tian, Jun
    Wu, Jinsong
    Zhao, Qian
    Xie, Lili
    2018 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOPS (WCNCW), 2018, : 379 - 383