JRM Vol.29 No.2 pp. 353-363
doi: 10.20965/jrm.2017.p0353

Development Report:

Excretion Detection System with Gas Sensor – Proposal and Verification of Algorithm Based on Time-Series Clustering –

Yoshimi Ui*, Yutaka Akiba**, Shohei Sugano**, Ryosuke Imai**, and Ken Tomiyama***

*aba Inc.
3-30-5 Maebara-Higashi, Funabashi, Chiba 274-0824, Japan

**Chiba Institute of Technology
2-17-1 Tsudanuma, Narashino, Chiba 275-0016, Japan

***Future Robotics Technology Center (fuRo), Chiba Institute of Technology
2-17-1 Tsudanuma, Narashino, Chiba 275-0016, Japan

September 30, 2016
February 6, 2017
April 20, 2017
excretion, care, gas sensor, clustering, non-wearing

Excretion Detection System with Gas Sensor – Proposal and Verification of Algorithm Based on Time-Series Clustering –

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 k-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.

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Last updated on Sep. 19, 2017