Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …
healthcare applications due to the fast adoption of wearable sensors and mobile …
Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review
FX Gaya-Morey, C Manresa-Yee, JM Buades-Rubio - Applied Intelligence, 2024 - Springer
As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …
Robust fall detection in video surveillance based on weakly supervised learning
Fall event detection has been a research hotspot in recent years in the fields of medicine
and health. Currently, vision-based fall detection methods have been considered the most …
and health. Currently, vision-based fall detection methods have been considered the most …
DistilPose: Tokenized pose regression with heatmap distillation
In the field of human pose estimation, regression-based methods have been dominated in
terms of speed, while heatmap-based methods are far ahead in terms of performance. How …
terms of speed, while heatmap-based methods are far ahead in terms of performance. How …
A convolutional neural network-based feature extraction and weighted twin support vector machine algorithm for context-aware human activity recognition
KT Chui, BB Gupta, M Torres-Ruiz, V Arya, W Alhalabi… - Electronics, 2023 - mdpi.com
Human activity recognition (HAR) is crucial to infer the activities of human beings, and to
provide support in various aspects such as monitoring, alerting, and security. Distinct …
provide support in various aspects such as monitoring, alerting, and security. Distinct …
The impact of YOLO Algorithms within fall detection application: A review
The phenomenon of human falls is a highly significant health concern, particularly for elderly
individuals and disabled individuals who reside alone. The global elderly population is …
individuals and disabled individuals who reside alone. The global elderly population is …
YogNet: A two-stream network for realtime multiperson yoga action recognition and posture correction
Yoga is a traditional Indian exercise. It specifies various body postures called asanas,
practicing them is beneficial for the physical, mental, and spiritual well-being. To support the …
practicing them is beneficial for the physical, mental, and spiritual well-being. To support the …
[HTML][HTML] An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications
Aging is inevitably associated with a decline in physical abilities and can pose challenges to
the social lives of elderly individuals. In long-term care facilities, group exercise is …
the social lives of elderly individuals. In long-term care facilities, group exercise is …
Exploring human pose estimation and the usage of synthetic data for elderly fall detection in real-world surveillance
The world's elderly population continues to grow at an unprecedented rate, creating a need
to monitor the safety of an aging population. One of the current problems is accurately …
to monitor the safety of an aging population. One of the current problems is accurately …
GTPT: Group-based Token Pruning Transformer for efficient human pose estimation
In recent years, 2D human pose estimation has made significant progress on public
benchmarks. However, many of these approaches face challenges of less applicability in the …
benchmarks. However, many of these approaches face challenges of less applicability in the …