TY - GEN
T1 - Designing In-Air Hand Gesture-based User Authentication System via Convex Hull
AU - Sun, Yiming
AU - Meng, Weizhi
AU - Li, Wenjuan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/8
Y1 - 2022/8
N2 - With the rapid development of personal computers and mobile devices, it is very important to properly authenticate a user's identity to protect the information and data stored on these devices. Due to various privacy and security concerns, contactless authentication has received much attention, among which in-air gesture based authentication is one promising solution. Motivated by this observation, in this work, we develop and implement a real-time in-air hand gesture-based user authentication system, where users can define or select various gestures and generate their credentials. Our system can verify a user using a deep learning-enabled inference framework without the need of being trained by a powerful device. Different from the state-of-the-art, our system uses a method of convex hull to recognize the hand gesture. In our user study, we involve 20 participants to examine the system performance, and find that our system is viable and usable with a success rate of 95%.
AB - With the rapid development of personal computers and mobile devices, it is very important to properly authenticate a user's identity to protect the information and data stored on these devices. Due to various privacy and security concerns, contactless authentication has received much attention, among which in-air gesture based authentication is one promising solution. Motivated by this observation, in this work, we develop and implement a real-time in-air hand gesture-based user authentication system, where users can define or select various gestures and generate their credentials. Our system can verify a user using a deep learning-enabled inference framework without the need of being trained by a powerful device. Different from the state-of-the-art, our system uses a method of convex hull to recognize the hand gesture. In our user study, we involve 20 participants to examine the system performance, and find that our system is viable and usable with a success rate of 95%.
KW - Convex Hull
KW - Hand Gesture
KW - In-Air Gesture
KW - Practical System
KW - User Authentication
UR - http://www.scopus.com/inward/record.url?scp=85137751059&partnerID=8YFLogxK
U2 - 10.1109/PST55820.2022.9851982
DO - 10.1109/PST55820.2022.9851982
M3 - Conference article published in proceeding or book
AN - SCOPUS:85137751059
T3 - 2022 19th Annual International Conference on Privacy, Security and Trust, PST 2022
SP - 1
EP - 5
BT - 2022 19th Annual International Conference on Privacy, Security and Trust, PST 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th Annual International Conference on Privacy, Security and Trust, PST 2022
Y2 - 22 August 2022 through 24 August 2022
ER -