The increase in the number of elderly motivates academic researchers to develop technologies that can ensure self- sufficiency in their lives. In this research, prototype of an inexpensive video monitoring system for the elderly using a single RGB camera proposed. In the process is divided into two, namely vision and event recognition module. For event recognition, we use a hierarchical description-based approach with three attributes, namely posture (e.g., stand, sit and lie), location (e.g., walking zone, relaxing zone and toilet zone) and duration (e.g., short and long). Output this system is description activity recognized in the text. The experiment result shows our system can provide the effectiveness of the context description
International audienceThis paper presents a cognitive vision approach to recognize a set of interest...
Copyright © 2013 Yiping Tang et al. This is an open access article distributed under the Creative Co...
Abstract: In this paper, we present a multimodal (video and contact sensors) monitoring approach for...
Abstract — In many domains such as health monitoring, the semantic information provided by automatic...
International audiencePopulation aging has been motivating academic research and industry to develop...
Recent advancements in depth video sensors technologies have made human activity recognition (HAR) r...
Recent advancements in depth video sensors technologies have made human activity recognition (HAR) r...
Artificial vision provides an incomparable good sensor when developing video care applications. They...
Objective: Injuries caused by falls of elderly people are a common worldwide problem and ageing of p...
Automated recognition of Activities of Daily Living allows to identify possible health problems and ...
Abstract — Existing surveillance systems for older people activity analysis are focused on video and...
In this paper, we propose a real-time system for in-home activity monitoring and functional assessme...
Objectives: Many countries are faced with the growing population of the elderly each year and so des...
The use of theatrical techniques to provoke discussion amongst potential users of gerontechnology in...
The elderly population (aged above 65) has surpassed the number of children under five years and con...
International audienceThis paper presents a cognitive vision approach to recognize a set of interest...
Copyright © 2013 Yiping Tang et al. This is an open access article distributed under the Creative Co...
Abstract: In this paper, we present a multimodal (video and contact sensors) monitoring approach for...
Abstract — In many domains such as health monitoring, the semantic information provided by automatic...
International audiencePopulation aging has been motivating academic research and industry to develop...
Recent advancements in depth video sensors technologies have made human activity recognition (HAR) r...
Recent advancements in depth video sensors technologies have made human activity recognition (HAR) r...
Artificial vision provides an incomparable good sensor when developing video care applications. They...
Objective: Injuries caused by falls of elderly people are a common worldwide problem and ageing of p...
Automated recognition of Activities of Daily Living allows to identify possible health problems and ...
Abstract — Existing surveillance systems for older people activity analysis are focused on video and...
In this paper, we propose a real-time system for in-home activity monitoring and functional assessme...
Objectives: Many countries are faced with the growing population of the elderly each year and so des...
The use of theatrical techniques to provoke discussion amongst potential users of gerontechnology in...
The elderly population (aged above 65) has surpassed the number of children under five years and con...
International audienceThis paper presents a cognitive vision approach to recognize a set of interest...
Copyright © 2013 Yiping Tang et al. This is an open access article distributed under the Creative Co...
Abstract: In this paper, we present a multimodal (video and contact sensors) monitoring approach for...