Determination of Lying Posture through Recognition of Multitier Body Parts

In this paper, we propose a lying posture discrimination algorithm to monitor the behavior pattern of a person lying in bed. Using FSR (force sensing resistor) sensors arranged in a grid structure, three major body parts such as head, shoulder, and hips are identified, and six lying positions are de...

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Bibliographic Details
Published inWireless communications and mobile computing Vol. 2019; no. 2019; pp. 1 - 16
Main Authors Hong, Youn-Sik, Choi, Hyun-Min, Kwon, Soon-Ju, Kim, Tae-Hwan
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2019
Hindawi
Hindawi Limited
Subjects
Algorithms
Body parts
Human remains
Nursing
Patients
Posture
Pressure distribution
Pressure ulcers
Sensors
Shoulder
Sleep
Stress concentration
Ulcers
Wireless networks
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Summary:In this paper, we propose a lying posture discrimination algorithm to monitor the behavior pattern of a person lying in bed. Using FSR (force sensing resistor) sensors arranged in a grid structure, three major body parts such as head, shoulder, and hips are identified, and six lying positions are determined based on these body parts. Head, shoulder, and hips are relatively high in pressure and are easy to distinguish due to low movement. In addition, we have effectively limited the search space to identify the above body parts based on standard body dimensions. Experimental results show that there is a correlation between pressure distribution and lying posture. The results of this study can be applied to the monitoring of sleep posture and can also be used as an aid to prevent fall accidents and the occurrence of pressure ulcers of elderly patients who are unable to move.
ISSN:1530-8669
1530-8677
DOI:10.1155/2019/9568584