[HTML][HTML] A Review of Recent Techniques for Human Activity Recognition: Multimodality, Reinforcement Learning, and Language Models
U Oleh, R Obermaisser, AS Ahammed - Algorithms, 2024 - mdpi.com
Human Activity Recognition (HAR) is a rapidly evolving field with the potential to
revolutionise how we monitor and understand human behaviour. This survey paper provides …
revolutionise how we monitor and understand human behaviour. This survey paper provides …
An experimental approach to detect forest fire using machine learning mathematical models and IoT
Fire outbreak is a common issue which is occurring worldwide, causing significant damage
to both nature and human life. Recently, vision-based fire detection systems have gained …
to both nature and human life. Recently, vision-based fire detection systems have gained …
TriFusion hybrid model for human activity recognition
Human activity recognition (HAR) remains a challenging problem in computer vision due to
the unpredictable nature of human activities. In recent years, researchers have proposed …
the unpredictable nature of human activities. In recent years, researchers have proposed …
[PDF][PDF] Efficient Real-Time Devices Based on Accelerometer Using Machine Learning for HAR on Low-Performance Microcontrollers
Analyzing physical activities through wearable devices is a promising research area for
improving health assessment. This research focuses on the development of an affordable …
improving health assessment. This research focuses on the development of an affordable …
Generative AI Powered Forensic Device
VG Kshirsagar, DG Bhosale… - 2024 8th …, 2024 - ieeexplore.ieee.org
Crime is a dominant concern in contemporary society. It is crucial to prevent it and deliver
justice promptly. Forensic science is critical for criminal investigations and maintaining law …
justice promptly. Forensic science is critical for criminal investigations and maintaining law …