Zhuo Wang (18668)Ziyang Chen (3956366)Lin Ma (23007)Qi Wang (22418)Heng Wang (76752)Arnaldo Leal-Junior (17916877)Xiaoli Li (279663)Carlos Marques (8980154)Rui Min (4039946)
With\nthe advantages of high flexibility, strong real-time monitoring\ncapabilities, and convenience, wearable devices have shown increasingly\npowerful application potential in medical rehabilitation, health monitoring,\nthe Internet of Things, and human–computer interaction. In\nthis paper, we propose a novel and wearable optical microfiber intelligent\nsensor based on a wavy-shaped polymer optical microfiber (WPOMF) for\ncardiorespiratory and behavioral monitoring of humans. The optical\nfibers based on polymer materials are prepared into optical microfibers,\nfully using the advantages of the polymer material and optical microfibers.\nThe prepared polymer optical microfiber is designed into a flexible\nwave-shaped structure, which enables the WPOMF sensor to have higher\ntensile properties and detection sensitivity. Cardiorespiratory and\nbehavioral detection experiments based on the WPOMF sensor are successfully\nperformed, which demonstrates the high sensitivity and stability potential\nof the WPOMF sensor when performing wearable tasks. Further, the success\nof the AI-assisted medical keyword pronunciation recognition experiment\nfully demonstrates the feasibility of integrating AI technology with\nthe WPOMF sensor, which can effectively improve the intelligence of\nthe sensor as a wearable device. As an optical microfiber intelligent\nsensor, the WPOMF sensor offers broad application prospects in disease\nmonitoring, rehabilitation medicine, the Internet of Things, and other\nfields.
Zhuo WangZiyang ChenLin MaQi WangHeng WangArnaldo Leal‐JuniorXiaoli LiCarlos MarquesRui Min
Lingyu ShenZhuo WangKun XiaoChuanxin TengSantosh KumarXiaoli LiRui Min
Bingjie ZhaZhuo WangLinqing LiXuehao HuB. OrtegaXiaoli LiRui Min
Burak Aksak (2341744)Michael P. Murphy (401146)Metin Sitti (591349)