13 天前 - … used for keystroke inference. In this paper, we propose Wi-Crack, a keystroke
recognition … Two computers equipped with commercial off-the-shelf WiFi NIC comprise the system, …

31 天前 - … This system harnesses the distinctiveness of individual keystroke dynamics for
secure user authentication, offering resilience against noise and light fluctuations. In this unique …

45 天前 - … -end gait recognition method that extracts the pose and shape features from an RGB
gait … The first activity we are using to identify the subject is walking (ie, Gait). A sample of a …

69 天前 - … By leveraging existing Wi-Fi signals, this research offers a nonintrusive and low-cost …
motion detection and recognition capabilities for applications such as fall detection, gait …

74 天前 - … and Artificial Intelligence, long-term and wearable gait detection is of great
significance … gait detection devices are generally less flexible and only a small number of gait …

76 天前 - … of gait signals through a designed temporal convolution module and constructs
dynamic graphs based on gait signals to … Additionally, through the global-local spatiotemporal …

110 天前 - … Under the Xt Transformer block, Wt,N in this study represents the input of the
acceleration gait signal under the Xt window. Next, the attention layer is used to learn the key …

163 天前 - … identifying gait patterns and detecting facial recognition (… Using a variety of feature
extraction and face identification … -based facial and gait recognition system. The system's …

176 天前 - … “A multi-branch CNN-BiLSTM model for human activity recognition using wearable
… “A hybrid deep learning model for human activity recognition using multimodal body sensing …

176 天前 - … gait recognition using LoRa sensing technology. This novel system is notable for
its use of LoRa signals to recognize human gait over a … LoRa signals to extract specific gait …