Flexible Strain Sensor-Based Data Glove for Gesture Interaction in the Metaverse: A Review

Bowen Ji, Xuanqi Wang, Zekai Liang, Haoyang Zhang, Qianchen Xia, Liang Xie, Huijiong Yan, Fanqi Sun, Huicheng Feng, Kai Tao, Qiang Shen, Erwei Yin

科研成果: 期刊稿件文章同行评审

13 引用 (Scopus)

摘要

The rise of the metaverse concept has brought about widespread attention in wearable gesture recognition devices. Data gloves based on flexible strain sensors have been favoured by researchers owing to their low cost, light weight, direct and continuous monitoring of finger movements. In this review, we first compare the advantages and disadvantages of four different approaches based on the vision sensors, myoelectric sensors, inertial and magnetic sensors, and flexible strain sensors in designing data gloves, and demonstrate the superiority of the flexible strain sensor-based data glove used for metaverse applications. Next, some latest commercial data gloves are exampled and the function modules of the data gloves are presented based on the flexible strain sensors. Meanwhile, the potential applications of gesture recognition in the metaverse are summarized in diversified fields. Finally, the existing problems and development prospects of the current data gloves based on flexible strain sensors are concluded. We are optimistic that novel flexible strain sensor-based data gloves will make transformational impact to realize accurate, low-latency, and immersive gesture interaction in the metaverse.

源语言英语
页(从-至)6793-6812
页数20
期刊International Journal of Human-Computer Interaction
40
21
DOI
出版状态已出版 - 2024

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