P.M. News on MSN

Nigerian makes breakthrough on how design and intelligent technology impact health

By Nehru OdehIbrahim Bilau, a doctoral candidate at the Georgia Institute of Technology, whose work spans science, product innovation and human-centred technology, is a researcher with a ...
Circuit Digest

ESP32-CAM Currency Recognition System using Edge Impulse

TinyML / Edge AI, ESP32-CAM camera interfacing, Edge Impulse workflow, Image classification & object detection on ...
IEEE

Machine Learning Driven Multiple Human Activity Recognition and Tracking Using Radar Technology: A Review

Abstract: In recent years, human detection and tracking have become crucial in military, search and rescue, and law enforcement agencies. Using machine learning techniques such as two-dimensional ...
Frontiers

Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration

Humanoid and Cognitive Robotics Laboratory, Department of Automatics, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia Collaboration between humans and robots is essential for ...
IEEE

Enhanced Human Activity Recognition Using Mixture of Swin Transformers With Recurrence Plots of Triaxial Sensor Data

Abstract: Human activity recognition (HAR) is an innovative technology that leverages sensors and computer systems to monitor and analyze human activities across various environments and workspaces.
Frontiers

Deep multimodal biomechanical analysis for lower back pain rehabilitation to improve patients stability

Introduction: Advancements in artificial intelligence are transforming rehabilitation by enabling scalable, patient-centric solutions within modern healthcare systems. This study introduces ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Robohub

Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Santa Clara University

An engineering professor uses machine learning to improve human-centered robotics

Robotics has come a long way in the last decade, going from rare novelties to everyday helpers doing everything from vacuuming homes to performing intricate surgeries. And if you ask Assistant ...
GitHub

Pull requests: Nenavath-chandu/Human-Activity-Recognition-using-Machine-Learning

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.