Abstract
Population ageing is an important global issue. The Taiwanese government has used various Internet of Things (IoT) applications in the “10-year long-term care program 2.0”. It is expected that the efficiency and effectiveness of long-term care services will be improved through IoT support. Home-delivered meal services for the elderly are important for home-based long-term care services. To ensure that the right meals are delivered to the right recipient at the right time, the runners need to take a picture of the meal recipient when the meal is delivered. This study uses the IoT-based image recognition system to design an integrated service to improve the management of image recognition. The core technology of this IoT-based image recognition system is statistical histogram-based k-means clustering for image segmentation. However, this method is time-consuming. Therefore, we proposed using the statistical histogram to obtain a probability density function of pixels of a figure and segmenting these with weighting for the same intensity. This aims to increase the computational performance and achieve the same results as k-means clustering. We combined histogram and k-means clustering in order to overcome the high computational cost for k-means clustering. The results indicate that the proposed method is significantly faster than k-means clustering by more than 10 times.
Highlights
IntroductionCountries are forced to develop long-term care-related strategic planning and resource reorganization [2]
This study proposes a method that can significantly improve the deficits of the original k-means clustering (KMC)
The image experiments prove that there is no significant difference between the KMC method and the KMC method based on the statistical histogram when using binary, quad, hexad, and octad processing
Summary
Countries are forced to develop long-term care-related strategic planning and resource reorganization [2]. The rapidly ageing population has been the biggest concern for the Taiwanese government [3]. 2026, transforming Taiwan into an extremely elderly society [4]. With the rapid growth in the elderly population, the resulting long-term demands and family care responsibilities will become increasingly heavy. In order to construct a long-term care system that meets the needs of the elderly as well as the physically and mentally handicapped, the Executive Yuan of Taiwan passed the “10-year long-term care program 2.0” on 29 September 2016 [5]. The Taiwan government strongly applied the use of various Internet of Things (IoT) applications in the “10-year long-term care program 2.0”. It is expected that the long-term care system will be improved through information and communication technology (ICT) support [6,7]
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