Speaker
Description
This study aims to develop an in-home senior healthcare platform that can consistently and accurately monitor and manage the life-logs of homebound seniors during their daily lives, without requiring any specific operation from them. The platform utilizes vision sensors to measure the seniors' daily behaviors and analyze the data to identify their health status. By proactively managing their health based on the collected data, this monitoring and tracking approach aims to prevent potential health issues and address existing ones at an early stage.
To achieve this aim, the seniors' daily behaviors are decomposed into activity units and then measured by the vision sensors. This data is then used to identify their health and behavior patterns. The life-log data collected is also used to provide individually optimized care plans by connected local agencies. For example, when an emergency is detected by tracking deep neural networks, emergency calls are sent to the medical center instantly. Additionally, an AI algorithm is designed to evaluate the seniors' status and suggest customized healthcare for the medium to long term in advance, based on the collected information from the server and application. This algorithm is visualized by a service design approach, providing integrated solutions of products and applications that match the seniors' behavioral types.
Through this investigation, the study expects to minimize the care gap that may occur in the current labor-based senior care system, by proactively managing the health of homebound seniors, detecting emergencies, and taking preventive measures with smart healthcare technologies. Furthermore, it is also expected to play a significant role in ensuring a healthier life for the seniors by reducing the risk of sudden death through the early detection of chronic diseases and effective response to emergencies.
This study reveals the development process of vision sensor-based unconstrained measurement technologies of health information and the application process of service design. It presents a solution that can help to address the challenges of an aging society and support the well-being of senior citizens.
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| Keywords | senior-healthcare, vision-sensor, life-logs, AI-algorithm, well-being |
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