May 7, 2018 · We propose an unobtrusive activity recognition classifier using deep convolutional neural network (DCNN) and anonymous binary sensors that are passive infrared ...
An unobtrusive activity recognition classifier using deep convolutional neural network (DCNN) and anonymous binary sensors that are passive infrared motion ...
Mar 6, 2019 · Abstract—Elderly population (over the age of 60) is pre- dicted to be 1.2 billion by 2025. Most of the elderly peo-.
Thus, we propose an unobtrusive activity recognition classifier using Deep Convolutional Neural Network (DCNN) and anonymous binary sensors (PIR sensors and ...
: UNOBTRUSIVE ACTIVITY RECOGNITION OF ELDERLY PEOPLE LIVING ALONE USING ANONYMOUS BINARY SENSORS AND DCNN. 5. Fig. 6. Converted activity image from the ...
Thus, we propose an unobtrusive activity recognition classifier using deep convolutional neural network (DCNN) and anonymous binary sensors that are passive ...
Scanpath Trend Analysis (STA) is employed for unobtrusive activity recognition of elderly people living alone and the F1-score is superior to all the ...
... Unobtrusive activity recognition of elderly people living alone using anonymous binary sensors and DCNN. IEEE J. Biomed. Health Inform. 2018, 23, 693–702 ...
In this paper, Scanpath Trend Analysis (STA) is employed for unobtrusive activity recognition of elderly people living alone. Binary sensor data is used and ...
Nov 14, 2022 · The most important function of an elderly monitoring system is to provide a sense of safety for the elderly themselves and their families, ...