Yan Li;Huaxu Zhou;Sicheng Zong;Zijun Ning;Jingfu Yuan;Fuling Yang
{"title":"Bionic Crackle Vibration Sensor With Wide Frequency Range and High Sensitivity for Motion Monitoring","authors":"Yan Li;Huaxu Zhou;Sicheng Zong;Zijun Ning;Jingfu Yuan;Fuling Yang","doi":"10.1109/JSEN.2025.3588235","DOIUrl":null,"url":null,"abstract":"Human physiological signals play a crucial role in the fields of health assessment, sports medicine, and human–computer interaction. However, human vibration signals exhibit a wide frequency range and significant amplitude variations, which impose greater demands on the sensors’ detection range and sensitivity. A Bionic Crackle Vibration Sensor holding a wide frequency range and high sensitivity, based on the highly sensitive vibration sensing mechanism of the slit sensilla in arthropod legs is designed. The sensor demonstrates exceptionally high sensitivity (GF =42755) and frequency resolution (0.1 Hz or <inline-formula> <tex-math>$1\\times 10^{-4}$ </tex-math></inline-formula>) over a wide frequency range (0.1–10000 Hz). Our sensor can accurately monitor vibration signals within ground provoked by human walking and jumping, as well as the pulse and vocal cord vibrations. Gait monitoring systems that integrate our sensors with insoles are proved to be capable of monitoring walking speed. Our Bionic Crackle Vibration Sensor provides innovative technological solutions for wearable medical electronics and human–computer interaction interfaces, demonstrating significant application potential in health monitoring, sports rehabilitation assessment, and early warnings for sub-health conditions.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 16","pages":"30561-30569"},"PeriodicalIF":4.3000,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/11083672/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Human physiological signals play a crucial role in the fields of health assessment, sports medicine, and human–computer interaction. However, human vibration signals exhibit a wide frequency range and significant amplitude variations, which impose greater demands on the sensors’ detection range and sensitivity. A Bionic Crackle Vibration Sensor holding a wide frequency range and high sensitivity, based on the highly sensitive vibration sensing mechanism of the slit sensilla in arthropod legs is designed. The sensor demonstrates exceptionally high sensitivity (GF =42755) and frequency resolution (0.1 Hz or $1\times 10^{-4}$ ) over a wide frequency range (0.1–10000 Hz). Our sensor can accurately monitor vibration signals within ground provoked by human walking and jumping, as well as the pulse and vocal cord vibrations. Gait monitoring systems that integrate our sensors with insoles are proved to be capable of monitoring walking speed. Our Bionic Crackle Vibration Sensor provides innovative technological solutions for wearable medical electronics and human–computer interaction interfaces, demonstrating significant application potential in health monitoring, sports rehabilitation assessment, and early warnings for sub-health conditions.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice