CNN-Based Smart Sleep Posture Recognition System

Keison Tang,Issam Maaz,Muhammad Nadeem,Arjun Kumar

doi:10.3390/iot2010007

Keison Tang, Issam Maaz + Show 2 more

Open Access

https://doi.org/10.3390/iot2010007

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Abstract

Sleep pattern and posture recognition have become of great interest for a diverse range of clinical applications. Autonomous and constant monitoring of sleep postures provides useful information for reducing the health risk. Prevailing systems are designed based on electrocardiograms, cameras, and pressure sensors, which are not only expensive but also intrusive in nature, and uncomfortable to use. We propose an unobtrusive and affordable smart system based on an electronic mat called Sleep Mat-e for monitoring the sleep activity and sleep posture of individuals living in residential care facilities. The system uses a pressure sensing mat constructed using piezo-resistive material to be placed on a mattress. The sensors detect the distribution of the body pressure on the mat during sleep and we use convolution neural network (CNN) to analyze collected data and recognize different sleeping postures. The system is capable of recognizing the four major postures—face-up, face-down, right lateral, and left lateral. A real-time feedback mechanism is also provided through an accompanying smartphone application for keeping a diary of the posture and send alert to the user in case there is a danger of falling from bed. It also produces synopses of postures and activities over a given duration of time. Finally, we conducted experiments to evaluate the accuracy of the prototype, and the proposed system achieved a classification accuracy of around 90%.

Highlights

The population of elderly people is on the rise and the number is expected to reach20% of the total world population by 2050 [1]
They tend to suffer from poor sleep quality which leads to myriad problems and affects their physical health, cognitive function, and overall quality of life [2,3,4,5]
Sleeping in the decubitus position have a higher risk of developing sub-acromial impingement syndrome [9] and those sleeping in a supine position are more likely to develop the symptoms of sleep paralysis [10]

Summary

Introduction

20% of the total world population by 2050 [1]. They tend to suffer from poor sleep quality which leads to myriad problems and affects their physical health, cognitive function, and overall quality of life [2,3,4,5]. Sleeping in the decubitus position have a higher risk of developing sub-acromial impingement syndrome [9] and those sleeping in a supine position are more likely to develop the symptoms of sleep paralysis [10]. Sleeping on the right-side poses a greater risk of development of transient lower esophageal sphincter relaxation, which is the main reason of nocturnal gastroesophageal reflux [11]

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