The smart home system (SHS) equipped with intelligent sensors and actuators aims at
providing seamless services for users. The natural user interface (NUI) enables intuitive …

Trung-Hieu Le, Nguyen Thuy Dung, Dinh Tran Ngoc Huy et al (2021) stated that Hand
Gestures Recognition can be supported with IoTs Solution System Design. Moreover, Hand …

Due to the rise of the Internet of Things, more devices can connect with the Internet. A large
amount of data is collected from devices that could be used for different applications. The …

Over the last decade, there have been a lot of advances in the area of human posture
recognition. Among multiple approaches proposed to solve this problem, those based on …

In this study, we extensively analyze and evaluate the performance of recent deep neural
networks (DNNs) for hand gesture recognition and static gestures in particular. To this end …

Hand gestures for human machine interaction using wearable sensors have more
potentiality than ambient sensing thanks to its low-cost, light weight and mostly scalablity …

This paper presents a new method for hand segmentation from images and video. The
method based mainly on an advanced technique for instance segmentation (Mask RCNN) …

Dogs are the most common companion animals worldwide, motivated by their exceptional
social behavior with humans. Unlike many animals, dog learn vocal commands, identify …

In this paper, we tackle advantages of cyclical movement patterns of hand gestures. The
cyclical patterns are defined as closed-form which hand moves away from a rest position …

Hand gesture is an efficient mean of human computer interaction. However, hand gesture
recognition faces many challenges such as low hand resolution, phase variation and …