Fall detection system for monitoring elderly people using YOLOv7-pose detection model
Author:
Affiliation:
1. Amrita School of Computing,Computer Science and Engineering,Chennai,India
2. Universiti Malaysia Perlis (UniMAP),Centre of Excellence Advance Computing,Perlis,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10262406/10262386/10262506.pdf?arnumber=10262506
Reference13 articles.
1. An Evolutionary Computing Approach to Solve Object Identification Problem for Fall Detection in Computer Vision-Based Video Surveillance Applications
2. Fall Detection System-Based Posture-Recognition for Indoor Environments
3. Fall Detection using Deep Learning Algorithms and Analysis of Wearable Sensor Data by Presenting a New Sampling Method
4. A framework for elderly fall detection using deep learning;mobsite;2020 6th IEEE Congress on Information Science and Technology (CiSt),2021
5. Wearable Sensor and Machine Learning Model-Based Fall Detection System for Safety of Elders and Movement Disorders
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1. Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review;Applied Intelligence;2024-07-08
2. Traffic Sign Classification for Road Safety using CNN;2024 International Conference on Emerging Systems and Intelligent Computing (ESIC);2024-02-09
3. SCW-YOLO: An Improved Algorithm for Fall Detection Based on Deep Learning;Lecture Notes in Computer Science;2024
4. Multi Person Pose Estimation and 3D Pose Detection Animation;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
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