학술논문

Fall Detection Among Elderly Using Deep Learning
Document Type
Conference
Source
2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), 2023 International Conference. :554-558 Jan, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Performance evaluation
Deep learning
Visualization
Time-frequency analysis
Surveillance
Sensor systems
Older adults
Fall Detection/Prediction
Vision Surveillance
Sensors
Language
Abstract
As humans continue to grow older and weaker and are not able to keep themselves stable at all times, falls among said elderly keep growing in number with their age. If these falls remain constant it can lead to their body wearing down even faster than before when it was due to just old age along with other scenarios that can also occur such as a single fall alone causing immense damage to the elderly or even the youth. It is due to this reason that fall detection and prediction are starting to turn into necessities so that action can be taken immediately to help a person on detection or prediction with the help of vision surveillance or sensors.