In:
Journal of Robotics and Mechatronics, Fuji Technology Press Ltd., Vol. 29, No. 2 ( 2017-04-20), p. 353-363
Abstract:
[abstFig src='/00290002/09.jpg' width='300' text='Standard Lifilm configuration' ] In this study, we propose an excretion detection system, Lifi, which does not require sensors inside diapers, and we verify its capabilities. It consists of a sheet with strategically placed air intakes, a set of gas sensors, and a processing unit with a newly developed excretion detection algorithm. The gas sensor detects chemicals with odor in the excrement, such as hydrogen sulfide and urea. The time-series data from the gas sensor was used for the detection of not only excretion, but also of the presence/absence of the cared person on the bed. We examined two algorithms, one with a simple threshold and another based on the clustering of sensor data, obtained using the 〈 span class=”bold” 〉 k 〈 /span 〉 -means method. The results from both algorithms were satisfactory and similar, once the algorithms were customized for each cared person. However, we adopted the clustering algorithm because it possesses a higher level of flexibility that can be explored and exploited. Lifi was conceived from an overwhelming and serious desire of caretakers to discover the excretion of bed-ridden cared persons, without opening their diapers. We believe that Lifi, along with the clustering algorithm, can help caretakers in this regard.
Type of Medium:
Online Resource
ISSN:
1883-8049
,
0915-3942
DOI:
10.20965/jrm.2017.p0353
Language:
English
Publisher:
Fuji Technology Press Ltd.
Publication Date:
2017
detail.hit.zdb_id:
2587053-1
SSG:
31
Permalink