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Underwater Gesture Recognition Meta-Gloves for Marine Immersive Communication
Jiaxu Liu1, Lihong Wang1, Ruidong Xu1
1Health & Protective Smart Textiles Research Center (HPT)/Research Center for Intelligent & Wearable Technology, College of Textiles & Clothing, State Key Laboratory of Bio-Fibers & Eco-Textiles, Collaborative Innovation Center for Eco-Textiles of Shandong Province, Qingdao University, Qingdao, Shandong 266071, People's Republic of China.
This study introduces a starfish-inspired flexible glove with advanced tactile sensors for underwater communication. The glove accurately recognizes 16 hand gestures, enhancing diver interaction and immersive experiences.
Area of Science:
- Biomimetic engineering
- Robotics and human-computer interaction
- Materials science
Background:
- Advancements in AI and immersive communication necessitate high-performance tactile sensing gloves.
- Current tactile gloves lack comfort and are unsuitable for underwater use.
- A need exists for robust, sensitive, and versatile tactile sensing solutions.
Purpose of the Study:
- To develop a flexible hand gesture recognition glove (GRG) with high-performance micropillar tactile sensors (MPTSs).
- To create a waterproof tactile sensing system for underwater applications.
- To enable intelligent underwater communication through accurate hand gesture recognition.
Main Methods:
- Fabrication of starfish-inspired micropillar tactile sensors (MPTSs).
- Integration of MPTSs into a flexible glove system.
- Development of a machine learning algorithm for gesture recognition.
Main Results:
- The MPTSs demonstrated a wide working range (5 Pa to 450 kPa), fast response (23 ms), and high repeatability (~10000 cycles).
- The waterproof sensors are suitable for underwater environments.
- The GRG system achieved intelligent recognition of 16 hand gestures underwater with high accuracy.
Conclusions:
- The proposed GRG system offers a novel solution for underwater tactile sensing and communication.
- The biomimetic sensor design provides excellent performance characteristics.
- This technology has significant potential for enhancing underwater human-computer interaction and diver communication.
