TY  - JOUR
PY  - 2024//
TI  - Underwater gesture recognition meta-gloves for marine immersive communication
JO  - ACS nano
A1  - Liu, Jiaxu
A1  - Wang, Lihong
A1  - Xu, Ruidong
A1  - Zhang, Xinwei
A1  - Zhao, Jisheng
A1  - Liu, Hong
A1  - Chen, Fuxing
A1  - Qu, Lijun
A1  - Tian, Mingwei
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - Rapid advancements in immersive communications and artificial intelligence have created a pressing demand for high-performance tactile sensing gloves capable of delivering high sensitivity and a wide sensing range. Unfortunately, existing tactile sensing gloves fall short in terms of user comfort and are ill-suited for underwater applications. To address these limitations, we propose a flexible hand gesture recognition glove (GRG) that contains high-performance micropillar tactile sensors (MPTSs) inspired by the flexible tube foot of a starfish. The as-prepared flexible sensors offer a wide working range (5 Pa to 450 kPa), superfast response time (23 ms), reliable repeatability (∼10000 cycles), and a low limit of detection. Furthermore, these MPTSs are waterproof, which makes them well-suited for underwater applications. By integrating the high-performance MPTSs with a machine learning algorithm, the proposed GRG system achieves intelligent recognition of 16 hand gestures under water, which significantly extends real-time and effective communication capabilities for divers. The GRG system holds tremendous potential for a wide range of applications in the field of underwater communications.<p />  <p>Language: en</p>
LA  - en
SN  - 1936-0851
UR  - http://dx.doi.org/10.1021/acsnano.3c13221
ID  - ref1
ER  -