A High-Security and Smart Interaction System Based on Hand Gesture Recognition for Internet of Things

Abstract

In this work, we propose a vision-based hand gesture recognition system to provide a high-security and smart node in the application layer of Internet of Things. The system can be installed in any terminal device with a monocular camera and interact with users by recognizing pointing gestures in the captured images. The interaction information is determined by a straight line from the user’s eye to the tip of the index finger, which achieves real-time and authentic data communication. The system mainly contains two modules. The first module is an edge repair-based hand subpart segmentation algorithm which combines pictorial structures and edge information to extract hand regions from complex backgrounds. Second, the position which the user focuses on is located by an adaptive method of pointing gesture estimation, which adjusts the offsets between the target position and the calculated position due to lack of depth information.

Histogram of Neighborhood Tripartite Authentication with Fingerprint-based Biometrics for IoT Services

“…From equation (4), the minutia features ' ' are obtained for each user ' ' both using the location information '( , )' and direction ' ' information respectively. In this work, user '.…”

“…Though security was said to be improved, the memory requirements to perform multi-factor biometric user authentication for IoT services was not concentrated. A vision-based hand gesture recognition model was investigated for the Internet of Things to provide a high-security system [4]. The design included edge segmentation and gesture estimation modules.…”

IOT Based Gesture Recognition for Smart Controlling

“…The system model consists of camera, fingertip, and eye and computer cursor. 2D Camera capture with specific size of images of hand with fingertip, fingertip interacts with eye and eye interacts with computer cursor highlighted black circles for controlling devices [18]. Nidhi Patel [19] proposed IOT system for converting handwritten text to editable format.…”

An EEG-Based Identity Authentication System with Audiovisual Paradigm in IoT

“…The rapid development of smart sensing devices, wireless communications, and mobile intelligent computing has prompted potential applications of Internet of Things (IoT) [1,2]; however, security issues have always been one of the concerns of IoT applications. Intelligent access control and identity authentication, which benefit from the close technological convergence of novel IoT terminals and machine learning, have emerged as indispensable components in some IoT applications such as the smart home, intelligent building, or safeguards for the purpose of security enhancement [3,4].…”