Smart Camera Based Monitoring System and Its Application to Assisted Living
ABSTRACT Western societies are aging rapidly. An automated 24/7 surveillance to ensure safety of the elderly while respecting privacy becomes a major challenge. At the same time this is representative of novel and emerging video surveillance applications discovered lately besides the classic surveillance protection applications in airports, government buildings, and industrial plants. Three problems of current surveillance systems are identified. A distributed and automated smart camera based approach is proposed that addresses these problems. The proposed system's goal set is to analyze the real world and reflect all relevant-and only relevant-information live in an integrated virtual counterpart for visualization. It covers georeferenced person tracking and activity recognition (falling person detection). A prototype system installed in a home for assisted living has been running 24/7 for several months now and shows quite promising performance.
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ABSTRACT: In this paper we present our method of detecting elderly patient's activities using a low-cost mobile sensor network. The activities are visualized using a 3D virtual environment. The sensor network consists of two wearable accelerometer/gyro sensors and 4-6 proximity sensors. A pattern recognition system detects the activities and a 3D virtual environment platform visualizes 19 actions and the approximate location of the patient, who is represented as a humanoid avatar. We evaluate our system with healthcare professionals using the focus group interview method and present the results as guidelines for using 3D virtual environments with elderly patient monitoring.7th International Conference on Next Generation Mobile Apps, Services and Technologies; 09/2013
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ABSTRACT: In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted living technologies for safe and independent aging. In this survey, we will summarize the emergence of 'ambient-assisted living" (AAL) tools for older adults based on ambient intelligence paradigm. We will summarize the state-of-the-art AAL technologies, tools, and techniques, and we will look at current and future challenges.IEEE journal of biomedical and health informatics. 05/2013; 17(3):579-90.
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ABSTRACT: Ambient assisted living (AAL) is a complex field, where different technologies are integrated to offer solutions for the benefit of different stakeholders. Several evaluation techniques are commonly applied that tackle specific aspects of AAL; however, holistic evaluation approaches are lacking when addressing the needs of both developers and end-users. Living labs have been often used as real-life test and experimentation environments for co-designing AAL technologies and validating them with relevant stakeholders. During the last five years, we have been evaluating AAL systems and services in the framework of various research projects. This paper presents the lessons learned in this experience and proposes a set of harmonized guidelines to conduct evaluations in living labs.Sensors 01/2014; 14(4):7277-311. · 2.05 Impact Factor