Investigations of object detection in images/videos using various deep learning techniques and embedded platforms—A comprehensive review
In recent years there has been remarkable progress in one computer vision application
area: object detection. One of the most challenging and fundamental problems in object …
area: object detection. One of the most challenging and fundamental problems in object …
3D Human Action Recognition: Through the eyes of researchers
Abstract Human Action Recognition (HAR) has remained one of the most challenging tasks
in computer vision. With the surge in data-driven methodologies, the depth modality has …
in computer vision. With the surge in data-driven methodologies, the depth modality has …
Spact: Self-supervised privacy preservation for action recognition
Visual private information leakage is an emerging key issue for the fast growing applications
of video understanding like activity recognition. Existing approaches for mitigating privacy …
of video understanding like activity recognition. Existing approaches for mitigating privacy …
ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling
This paper presents an efficient activity recognition and fall detection system (ARFDNet).
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …
Timebalance: Temporally-invariant and temporally-distinctive video representations for semi-supervised action recognition
Abstract Semi-Supervised Learning can be more beneficial for the video domain compared
to images because of its higher annotation cost and dimensionality. Besides, any video …
to images because of its higher annotation cost and dimensionality. Besides, any video …
Real-time action recognition system for elderly people using stereo depth camera
TT Zin, Y Htet, Y Akagi, H Tamura, K Kondo, S Araki… - Sensors, 2021 - mdpi.com
Smart technologies are necessary for ambient assisted living (AAL) to help family members,
caregivers, and health-care professionals in providing care for elderly people …
caregivers, and health-care professionals in providing care for elderly people …
A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects
G Bhola, DK Vishwakarma - Multimedia Tools and Applications, 2024 - Springer
With the advent of technology, we are getting more comfortable with the use of gadgets,
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …
A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques
SK Gharghan, HA Hashim - Measurement, 2024 - Elsevier
Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …
advancements in wireless and internet-of-things technologies have led to the development …
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 …
Mishape: Accurate human silhouettes and body joints from commodity millimeter-wave devices
We propose MiShape, a millimeter-wave (mmWave) wireless signal based imaging system
that generates high-resolution human silhouettes and predicts 3D locations of body joints …
that generates high-resolution human silhouettes and predicts 3D locations of body joints …