Face Detection-Induced Access Control System via Large Margin Metric Learning
With the development of science and technology and the acceleration of economic integration, identity authentication has become the most basic element in cyberspace and the basis of the whole information security system. Biometric recognition ...
Deep Neural Network for Electromyography Signal Classification via Wearable Sensors
The human-computer interaction has been widely used in many fields, such intelligent prosthetic control, sports medicine, rehabilitation medicine, and clinical medicine. It has gradually become a research focus of social scientists. In the field of ...
Classroom Behavior Analysis and Evaluation in Physical Education by Using Structure Representation
Behavior analysis plays a critical role in physical education. This paper resorts to computer vision technology to establish a classroom behavior analysis system for physical education. First, the behavior video is collected by a Kinect camera. Then, ...
Heart Rate Estimation in Sports Based on Multi-Sensor Data for Sports Intensity Prediction
The heart rate (HR) is the most common measurement of the cardiovascular system. It reflects not only the cardiovascular function, but also the degree of recovery, and has high reliability. The heart rate monitoring can be used in athlete selection, ...
A Distributed System-Based Multiplex Networks to Extract Texture Feature
Defect detection is an indispensable part of quality detection in manufacturing. It is a challenging task to recognize defects on the surface of castings with random textures. This paper proposes a texture extraction method based on multiplex networks ...
Wearable Device-Based Data Collection and Feature Analysis Method for Outdoor Sports
In recent years, with the rapid popularization of smart phones and wearable smart devices, it is no longer difficult to obtain a large number of human motion data related to people's heart rate and geographical location, which has spawned a series of ...
Online Stock Price Prediction Based on Interval Data Analysis
The continuous increase in per capita income makes more residents choose stocks as a new investment method, so how to more accurately judge their price trends has become increasingly important. In most traditional time series analyses, models are ...
Enterprise Management Optimization by Using Artificial Intelligence and Edge Computing
In the internet era, huge data is generated every day. With the help of cloud computing, enterprises can store and analyze these data more conveniently. With the emergence of the internet of things, more hardware devices have accessed the network and ...