A Wrist Sensor Sleep Posture Monitoring System: An Automatic Labeling Approach

In the hospital, a sleep postures monitoring system is usually adopted to transform sensing signals into sleep behaviors. However, a home-care sleep posture monitoring system needs to be user friendly. In this paper, we present iSleePost—a user-friendly home-care intelligent sleep posture monitoring system. We address the labor-intensive labeling issue of traditional machine learning approaches in the training phase. Our proposed mobile health (mHealth) system leverages the communications and computation capabilities of mobile phones for provisioning a continuous sleep posture monitoring service. Our experiments show that iSleePost can achieve up to 85 percent accuracy in recognizing sleep postures. More importantly, iSleePost demonstrates that an easy-to-wear wrist sensor can accurately quantify sleep postures after our designed training phase. It is our hope that the design concept of iSleePost can shed some lights on quantifying human sleep postures in the future.

Download Full-text

A Wrist Sensor Sleep Posture Monitoring System: An Automatic Labeling Approach

10.20944/preprints201907.0060.v1 ◽

2019 ◽

Author(s):

Po-Yuan Jeng ◽

Li-Chun Wang ◽

Chaur-Jong Hu ◽

Dean Wu

Keyword(s):

Home Care ◽

Monitoring System ◽

Monitoring Systems ◽

Learning Approaches ◽

Posture Monitoring ◽

Labeling Approach ◽

Percent Accuracy ◽

Monitoring Service ◽

User Friendly ◽

Sleep Posture

Sleep postures monitoring systems in the hospital aim at transforming sensing signals into quantitative data to characterize the sleep behaviors of the patient. However, a home-care sleep posture monitoring system needs to be user friendly. In this paper, we present iSleePost - a user-friendly home-care intelligent sleep posture monitoring system. We address the labor-intensive labeling issue of traditional machine learning approaches in the training phase. Our proposed mobile health (mHealth) system leverages the communications and computation capabilities of mobile phones for provisioning a continuous sleep posture monitoring service. Our experiments show that iSleePost can achieve 90 percent accuracy in recognizing sleep postures. More importantly, iSleePost demonstrates that an easily-wear wrist sensor can accurately quantify sleep postures.

Download Full-text

An accurate, low-cost, easy-to-use sleep posture monitoring system

2017 International Conference on Applied System Innovation (ICASI) ◽

10.1109/icasi.2017.7988585 ◽

2017 ◽

Cited By ~ 1

Author(s):

Poyuan Jeng ◽

Li-Chun Wang

Keyword(s):

Monitoring System ◽

Low Cost ◽

Posture Monitoring ◽

Sleep Posture

Download Full-text

Wearable SpO2 and sleep posture monitoring system for Obstructive Sleep Apnea patients

2015 IEEE Virtual Conference on Applications of Commercial Sensors (VCACS) ◽

10.1109/vcacs.2015.7439613 ◽

2015 ◽

Cited By ~ 2

Author(s):

Rita Brugarolas ◽

Jose M. Valero-Sarmiento ◽

Andrew Brna

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Monitoring System ◽

Obstructive Sleep ◽

Posture Monitoring ◽

Sleep Posture

Download Full-text

Development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting

Transactions of the JSME (in Japanese) ◽

10.1299/transjsme.20-00199 ◽

2020 ◽

Vol 86 (892) ◽

pp. 20-00199-20-00199

Author(s):

Jun FUJIOKA ◽

Riku TAKUMA ◽

Yoshikazu KAWAYOKE ◽

Daisuke MIYASHITA

Keyword(s):

Pressure Distribution ◽

Monitoring System ◽

Posture Monitoring ◽

Body Pressure Distribution ◽

Sleep Posture

Download Full-text

MackDroid - An Android based Application to monitor devices

Journal of Communications Technology Electronics and Computer Science ◽

10.22385/jctecs.v9i0.130 ◽

2016 ◽

Vol 9 ◽

pp. 1

Author(s):

Maaz Sirkhot ◽

Ekta Sirwani ◽

Aishwarya Kourani ◽

Akshit Batheja ◽

Kajal Jethanand Jewani

Keyword(s):

Operating System ◽

Open Source ◽

Vital Role ◽

Mobile Users ◽

Android Application ◽

Web Page ◽

Technological World ◽

Monitoring Service ◽

User Friendly

In this technological world, smartphones can be considered as one of the most far-reaching inventions. It plays a vital role in connecting people socially. The number of mobile users using an Android based smartphone has increased rapidly since last few years resulting in organizations, cyber cell departments, government authorities feeling the need to monitor the activities on certain targeted devices in order to maintain proper functionality of their respective jobs. Also with the advent of smartphones, Android became one of the most popular and widely used Operating System. Its highlighting features are that it is user friendly, smartly designed, flexible, highly customizable and supports latest technologies like IoT. One of the features that makes it exclusive is that it is based on Linux and is Open Source for all the developers. This is the reason why our project Mackdroid is an Android based application that collects data from the remote device, stores it and displays on a PHP based web page. It is primarily a monitoring service that analyzes the contents and distributes it in various categories like Call Logs, Chats, Key logs, etc. Our project aims at developing an Android application that can be used to track, monitor, store and grab data from the device and store it on a server which can be accessed by the handler of the application.

Download Full-text