MyoTac: Real‐Time Recognition of Tactical Sign Language Based on Lightweight Deep Neural Network

H Li, Y Zhang, Q Cao - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Real‐time tactical sign language recognition enables communication in a silent environment
and outside the visual range, and human‐computer interaction (HCI) can also be realized …

MyoTac: Real-Time Recognition of Tactical Sign Language Based on Lightweight Deep Neural Network.

H Li, Y Zhang, Q Cao - Wireless Communications & Mobile …, 2022 - search.ebscohost.com
Real-time tactical sign language recognition enables communication in a silent environment
and outside the visual range, and human-computer interaction (HCI) can also be realized …

MyoTac:: Real-Time Recognition of Tactical Sign Language Based on Lightweight Deep Neural Network

H Li, Y Zhang, Q Cao - Wireless Communications and Mobile Computing, 2022 - dl.acm.org
Real-time tactical sign language recognition enables communication in a silent environment
and outside the visual range, and human-computer interaction (HCI) can also be realized …

MyoTac: Real-Time Recognition of Tactical Sign Language Based on Lightweight Deep Neural Network

H Li, Y Zhang, Q Cao - Wireless Communications & Mobile …, 2022 - search.proquest.com
Real-time tactical sign language recognition enables communication in a silent environment
and outside the visual range, and human-computer interaction (HCI) can also be realized …

[引用][C] MyoTac: Real-Time Recognition of Tactical Sign Language Based on Lightweight Deep Neural Network

H Li, Y Zhang, Q Cao - Wireless Communications and Mobile Computing - Hindawi

[引用][C] Research Article MyoTac: Real-Time Recognition of Tactical Sign Language Based on Lightweight Deep Neural Network

H Li, Y Zhang, Q Cao - 2022