Bionic Spider Web Flexible Strain Sensor Based on CF-L and Machine Learning
J Zou, X Chen, B Song, Y Cui - ACS Applied Materials & Interfaces, 2024 - ACS Publications
At present, the preparation of laser-induced graphene (LIG) has become an important
technology in sensor manufacturing. In the conventional preparation process, the CO2 laser …
technology in sensor manufacturing. In the conventional preparation process, the CO2 laser …
Triboelectric Bending Sensors for AI‐Enabled Sign Language Recognition
Human–machine interfaces and wearable electronics, as fundamentals to achieve human‐
machine interactions, are becoming increasingly essential in the era of the Internet of …
machine interactions, are becoming increasingly essential in the era of the Internet of …
Boxing behavior recognition based on artificial intelligence convolutional neural network with sports psychology assistant
Y Kong, Z Duan - Scientific Reports, 2024 - nature.com
The purpose of this study is to deeply understand the psychological state of boxers before
the competition, and explore an efficient boxing action classification and recognition model …
the competition, and explore an efficient boxing action classification and recognition model …
[HTML][HTML] Artificial Intelligence and Smart Sensor-Based Industrial Advanced Technology
L Jia, B Sun, W Tan, S Zhang, B Zhang, J Zhu - Sensors, 2024 - mdpi.com
With the rapid growth of smart sensors and industrial data, artificial intelligence (AI)
technology (such as machine learning, machine vision, multi-sensor fusion, cloud …
technology (such as machine learning, machine vision, multi-sensor fusion, cloud …
Distributed IMU Sensors for In-Field Dynamic Measurements on an Alpine Ski
Modern ski design is an inherently time-consuming process that involves an iterative
feedback loop comprised of design, manufacturing and in-field qualitative evaluations …
feedback loop comprised of design, manufacturing and in-field qualitative evaluations …
A self-powered wearable sensor for infant fall detection based on triboelectric nanogenerator
L Hu, H Meng, Z Xu, Y Wang - Applied Physics A, 2025 - Springer
Infant fall detection is critical for the timely identification of fall events, assessment of the
severity, and reduction of potential injuries. Traditional fall detection technologies typically …
severity, and reduction of potential injuries. Traditional fall detection technologies typically …
Editorial for the Special Issue on Methodology, Microfabrication and Applications of Advanced Sensing and Smart Systems.
This document is an editorial for a special issue of the journal Micromachines on the
methodology, microfabrication, and applications of advanced sensing and smart systems …
methodology, microfabrication, and applications of advanced sensing and smart systems …
Enhanced dynamic hand gesture recognition for finger disabilities using deep learning and an optimized Otsu threshold method
MK Kadhim, CS Der, CC Phing - Engineering Research Express, 2025 - iopscience.iop.org
Hand gestures serve as a powerful means of communication, capable of conveying
extensive information across various public health domains, including medicine and …
extensive information across various public health domains, including medicine and …
An Investigation into the Rise of Wearable Technologies in the Healthcare Sector
Wearable technologies and self-tracking healthcare apps are becoming increasingly
popular among people all over the world. Moreover, with the rapid increase in technological …
popular among people all over the world. Moreover, with the rapid increase in technological …
Machine Learning in Motion: Enhancing Human Activity Recognition with Smartphone Sensor Data and Performance Metrics
S Kashyap - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
The goal of this undertaking course, is to enhance the efficiency and outcome performance
in Human Activity Recognition (HAR) using smartphone sensor data and machine learning …
in Human Activity Recognition (HAR) using smartphone sensor data and machine learning …