MSleepWatcher: Why didn't i sleep well? (original) (raw)

Toss ā€˜nā€™ Turn: Smartphone as Sleep and Sleep Quality Detector

Afsaneh Doryab

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Empowering Wearable Sensor Generated Data to Predict Changes in Individual's Sleep Quality

Wahyu Hidayat, REZA BUDIAWAN

The 6th International Conference on Information and Communication Technology (ICoICT 2018)), 2018

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The Science of Sweet Dreams: Predicting Sleep Efficiency from Wearable Device Data

Luis Fernandez-Luque, Jaideep Srivastava

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Personalized User Modelling for Sleep Insight

dhruv upadhyay

Proceedings of the 1st International Workshop on Human-centric Multimedia Analysis, 2020

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PARIS: Personalized Activity Recommendation for Improving Sleep Quality

Meghna Singh

2021

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Personalized User Modelling for Context-Aware Lifestyle Recommendations to Improve Sleep

Ramesh Jain

2020

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An smartphone-based algorithm to measure and model quantity of sleep

archie gupta

2015

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Improved Sleep Detection Through the Fusion of Phone Agent and Wearable Data Streams

Koustuv Saha

2020

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Recognizing Sleep Stages with Wearable Sensors in Everyday Settings

edith maier

Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2017

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Already up? using mobile phones to track & share sleep behavior

James Clawson

International Journal of Human-Computer Studies, 2013

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#Sleep_as_Android: Feasibility of Using Sleep Logs on Twitter for Sleep Studies

Ingmar Weber

2016 IEEE International Conference on Healthcare Informatics (ICHI), 2016

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Self-Adaptive and Lightweight Real-Time Sleep Recognition With Smartphone

Manola Ricciuti

Journal of Communications Software and Systems, 2018

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iPillow: Sleep Quality Improvement System

Koliya Pulasinghe

2019 International Conference on Advancements in Computing (ICAC)

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A New Advanced Implementation Results of Comprehensive Statistical Analysis for Recent Smartphone Sleep-Tracking Applications

Nadir Abd Elaziz

A New Advanced Implementation Results of Comprehensive Statistical Analysis for Recent Smartphone Sleep-Tracking Applications, 2023

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Analysis and Correlation between a Non-Invasive Sensor Network System in the Room and the Improvement of Sleep Quality

Eduardo Morales Vizcarra

Future Internet

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Predicting sleeping behaviors in long-term studies with wrist-worn sensor data

Kristof Van Laerhoven

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011

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Validating a mobile phone application for the everyday, unobtrusive, objective measurement of sleep

Erica Kucharczyk

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13, 2013

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Opportunities for computing to support healthy sleep behavior

Eun Choe

2010

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Sleep Disorder Evaluation Using Ambient and Wearable Sensor Technologies

Gabriele Rescio

2016

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Lullaby: A capture & access system for understanding the sleep environment

Matthew Kay

Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12), 2012

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WiSleep: Scalable Sleep Monitoring and Analytics Using Passive WiFi Sensing

Priyanka Mary Mammen

ArXiv, 2021

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Real-world longitudinal data collected from the SleepHealth mobile app study

A Joseph Borelli

Scientific Data, 2020

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A Novel Sleep Scoring Algorithm-Based Framework and Sleep Pattern Analysis Using Machine Learning Techniques

Sabyasachi Chakraborty

Int. J. Syst. Dyn. Appl., 2021

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Large-Scale Sleep Condition Analysis Using Selfies from Social Media

Jingyao Zhan

Social, Cultural, and Behavioral Modeling, 2017

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Smartphone Mediated Tracking and Analysis of Sleep Patterns in Indian College Students

Maitri Vaghela

Human-centric intelligent systems, 2022

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Combining wearable and environmental sensing into an unobtrusive tool for long-term sleep studies

Kristof Van Laerhoven

IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, 2012

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Towards ecological sleep monitoring : a systematic review of clinical applications of mHealth wearable based sleep monitoring. (Preprint)

Vincent Masetti

2019

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The Feasibility of Using Smartphone Sensors to Track Insomnia, Depression, and Anxiety in Adults and Young Adults: Narrative Review (Preprint)

Ian T Nabney

2022

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You Are How You Sleep: Personalized Sleep Monitoring Based on Wrist Temperature and Accelerometer Data

Jennifer Boger

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters, 2019

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0443 Intra Week Sleep Patterns Analyzed Using Consumer Sleep Tracker Data

Brian O'Mullane

Sleep, 2020

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SleepTight: Low-burden, Self-monitoring Technology for Capturing and Reflecting on Sleep Behaviors

Matthew Kay

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '15, 2015

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N=1 Modelling of Lifestyle Impact on SleepPerformance

Dhruv Upadhyay

2020

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A Smart Health (sHealth)-Centric Method toward Estimation of Sleep Deficiency Severity from Wearable Sensor Data Fusion

juber rahman

BioMedInformatics

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Obtrusiveness of smartphone applications for sleep health

International Journal of Electrical and Computer Engineering (IJECE)

International Journal of Electrical and Computer Engineering (IJECE), 2019

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Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures

Tanvi Banerjee

Sensors, 2019

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