[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 …
Multimodal Human Action Recognition Framework using an Improved CNNGRU Classifier
M Batool, M Alotaibi, SR Alotaibi, DA AlHammadi… - IEEE …, 2024 - ieeexplore.ieee.org
Activity recognition from multiple sensors is a promising research area with various
applications for remote human activity tracking in surveillance systems. Human activity …
applications for remote human activity tracking in surveillance systems. Human activity …
Enhancing Chewing Detection with a CNN-BiLSTM Network Utilizing IMU and Photoplethysmography Data from an Earable Device
S Mekruksavanich, W Phaphan… - 2024 IEEE 15th …, 2024 - ieeexplore.ieee.org
Detecting chewing is vital to tracking eating habits, which is necessary to preserve good well-
being and health. Advancements in wearable sensors have recently enabled cap-turing a …
being and health. Advancements in wearable sensors have recently enabled cap-turing a …
A Lightweight Deep Residual Network for Recognizing Activities in Daily Living Using Channel State Information
S Mekruksavanich… - 2023 IEEE 14th …, 2023 - ieeexplore.ieee.org
The field of human activity recognition (HAR) focuses on predicting human motion and
actions by analyzing data from various sensors. HAR tasks can benefit from vision-based …
actions by analyzing data from various sensors. HAR tasks can benefit from vision-based …
Robust Framework for Detecting Heart Stroke using Advanced Machine Learning Techniques
TA Mohanaprakash, SS Aladakatti… - … on Smart Electronics …, 2024 - ieeexplore.ieee.org
Strokes of the heart are responsible for an increasing number of deaths that occur on a daily
basis, and it is anticipated that this pattern will continue for the foreseeable future. It is …
basis, and it is anticipated that this pattern will continue for the foreseeable future. It is …
[PDF][PDF] A Hybrid Gabor Filter-Convolutional Neural Networks Model for Facial Emotion Recognition System
Objectives: This research aims to develop a hybrid facial emotion recognition system using
integrated machine learning feature extraction techniques with convolutional neural …
integrated machine learning feature extraction techniques with convolutional neural …