By virtue of the stability of signatures and the high difficulty of imitation, handwriting
signatures, as an important behavioral biometric trait, have been broadly adopted for …

Finger gesture recognition is gaining great research interest for wearable device interactions
such as smartwatches and AR/VR headsets. In this paper, we propose a hands-free fine …

Dynamic hand gesture is an emerging and promising biometric trait containing both
physiological and behavioral characteristics. Possessing the two kinds of characteristics …

Dynamic hand gesture is an emerging and promising biometric trait. It contains both
physiological and behavioral characteristics, which on the one hand can theoretically make …

To further improve the convenience and effectiveness of human computer interaction (HCI)
with smart devices, human activity recognition (HAR) has been widely studied from various …

Video-based hand gesture authentication is a challenging fine-grained spatiotemporal
analysis task, which requires models with the ability to extract stable physiological and …

The millimeter-wave (mmWave) radar has been exploited for gesture recognition. However,
existing mmWave-based gesture recognition methods cannot identify different users, which …

Existing hand gesture authentication methods require the probe gesture types to be
consistent with the registered ones, which reduces the user-friendliness and efficiency of …

Biometric authentication technologies are rapidly gaining popularity, and hand gestures are
emerging as a promising biometric trait due to their rich physiological and behavioral …

Random hand gesture authentication (RGA) allows the probe hand gesture types to be
inconsistent with the registered ones. While it is highly user-friendly, it poses a significant …