Contactless Vital-Sign Monitoring of Construction Machinery Operators Using Millimeter-Wave Technology

被引:0
|
作者
Wang, Jia [1 ]
Li, Heng [2 ]
Han, Shuai [3 ]
Wang, Guangbin [4 ]
Ren, Wei [5 ]
机构
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[2] Hong Kong Polytech Univ, Res Ctr Director Construct Informat & Acad Discipl, Dept Bldg & Real Estate, Hong Kong 999077, Peoples R China
[3] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong 999077, Peoples R China
[4] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[5] Hong Kong Polytech Univ, Dept Comp, Hong Kong 999077, Peoples R China
基金
中国国家自然科学基金;
关键词
Construction machinery operator; Millimeter-wave (MMW); Respiration; Heart rate; Contactless; RESPIRATION; RADAR; NOISE; MODEL;
D O I
10.1061/JCEMD4.COENG-14834
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Accidents related to construction machinery primarily result from operators engaging in unsafe behavior. Continuous monitoring of the vital signs of heavy machinery operators is necessary to enable timely intervention in the event of abnormal physical or mental states, thereby reducing the risk of accidents. Researchers have proposed methods for monitoring vital signs in heavy machinery operators through wearable devices. However, sensor-based wearable systems, such as surface electromyography, are often invasive or necessitate the affixing of numerous sensors to the workers' bodies, which may result in discomfort for the workers and potential instability within the system, thereby constraining their utilization on construction sites. To mitigate these limitations, this study proposes a contactless monitoring method based on millimeter-wave (MMW) radar and tests the accuracy and robustness of the method. Ten participants of various figures were recruited for sensing and robustness tests within a simulated heavy machinery cabin. The experimental results demonstrate that MMW radar can accurately monitor the respiration rate and heart rate of heavy machinery operators within a range of +/- 45 degrees horizontally and +/- 30 degrees vertically and unaffected by illumination and attire conditions. The proposed method has great potential for enabling continuous monitoring of vital signs in heavy machinery operators in harsh construction environments. Further analysis of the vital sign information obtained from MMW radar can be involved to enable future research, such as fatigue monitoring and attention assessment.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Millimeter-Wave Imaging using Silicon Technology
    Sodini, Charles G.
    Khoa Nguyen
    2011 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2011, : 5 - 25
  • [22] Tumor Detection Using Millimeter-Wave Technology
    Mirbeik-Sabzevari, Amir
    Tavassolian, Negar
    IEEE MICROWAVE MAGAZINE, 2019, 20 (08) : 30 - 43
  • [23] PAPER ECG Signal Reconstruction Using FMCW Radar and a Convolutional Neural Network for Contactless Vital-Sign Sensing*
    Toda, Daiki
    Anzai, Ren
    Ichige, Koichi
    Saito, Ryo
    Ueki, Daichi
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2023, E106B (01) : 65 - 73
  • [24] A Novel Contactless Concentration Evaluation Technique Using Millimeter-Wave Radar
    Cao, Jie
    Li, Yuchen
    Liu, Jingtao
    Gu, Changzhan
    2024 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY, ICMMT, 2024,
  • [25] Indoor Human Activity and Vital Sign Monitoring Based on Millimeter Wave Radar
    Ma, Ruyu
    Zhang, Xiu-Yin
    2022 CROSS STRAIT RADIO SCIENCE & WIRELESS TECHNOLOGY CONFERENCE, CSRSWTC, 2022,
  • [26] Driver Vital Signs Monitoring Using Millimeter Wave Radio
    Wang, Fengyu
    Zeng, Xiaolu
    Wu, Chenshu
    Wang, Beibei
    Liu, K. J. Ray
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (13) : 11283 - 11298
  • [27] Intelligent Construction Activity Identification for All-Weather Site Monitoring Using 4D Millimeter-Wave Technology
    Wang, Jia
    Wang, Guangbin
    Li, Heng
    Han, Shuai
    Zhang, Jiawen
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2024, 150 (11)
  • [28] Vital Signs Monitoring via Millimeter-Wave Full-Field Micromotion Sensing
    Li, Songxu
    Xiong, Yuyong
    Shen, Xiangtian
    Peng, Zhike
    2022 IEEE MTT-S INTERNATIONAL MICROWAVE BIOMEDICAL CONFERENCE (IMBIOC), 2022, : 292 - 295
  • [29] Monitoring Person on Bed Using Millimeter-Wave Radar Sensor
    Jang, Min-ho
    Kang, Sung-wook
    Lee, Seongwook
    2022 IEEE RADAR CONFERENCE (RADARCONF'22), 2022,
  • [30] Inspection of concrete structures using millimeter-wave imaging technology
    Oka, Soichi
    Mochizuki, Shoji
    Togo, Hiroyoshi
    Kukutsu, Naoya
    NTT Technical Review, 2009, 7 (03):