CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection

V Soni, H Yadav, S Bijrothiya, VB Semwal - Biomedical Signal Processing …, 2024 - Elsevier
Fall detection is an emerging problem in the field of elderly care and health monitoring. Falls
can cause severe injuries and even death among the elderly, and prompt detection can …

Activity recognition and IoT-based analysis using time series and CNN

N Beemkumar, S Gupta, S Bhardwaj… - … of Research on …, 2023 - igi-global.com
Using time series data obtained from accelerometer and gyroscope sensors on an iPhone
6s, the authors address the topic of human activity and attribute detection. The collection …

Multi-head CNN-based activity recognition and its application on chest-mounted sensor-belt

U Verma, P Tyagi, MK Aneja - Engineering Research Express, 2024 - iopscience.iop.org
In recent years, a great deal of research has been done on the identification, monitoring, and
classification of human activities. Human activity recognition (HAR) is a term commonly used …

Healthcare-based Human Activity Recognition and Transportation Mode Detection Using IoT Sensors

R Dilip, MG Shalini, MG Manasa… - Smart Technologies …, 2024 - taylorfrancis.com
The paper presents a study on human activity recognition and transportation mode
detection. Readings from the accelerometer, gyroscope, and sound measurements taken by …

IoT-assisted Human Activity Recognition Using Bat Optimization Algorithm with Ensemble Voting Classifier for Disabled Persons

NS Almalki, MM Alnfiai, FN Al-Wesabi… - Journal of Disability …, 2024 - scienceopen.com
Internet of Things (IoT)-based human action recognition (HAR) has made a significant
contribution to scientific studies. Furthermore, hand gesture recognition is a subsection of …