Personalized user modelling for sleep insight

DD Upadhyay, V Pandey, N Nag, R Jain - Proceedings of the 1st …, 2020 - dl.acm.org
Sleep is critical to leading a healthy lifestyle. Each day, most people go to sleep without any
idea about how their night's rest is going to be. For an activity that humans spend around a …

N= 1 Modelling of Lifestyle Impact on SleepPerformance

D Upadhyay, V Pandey, N Nag, R Jain - arXiv preprint arXiv:2006.10884, 2020 - arxiv.org
Sleep is critical to leading a healthy lifestyle. Each day, most people go to sleep without any
idea about how their night's rest is going to be. For an activity that humans spend around a …

[PDF][PDF] Personalized User Modelling for Context-Aware Lifestyle Recommendations to Improve Sleep.

V Pandey, DD Upadhyay, N Nag, RC Jain - HealthRecSys@ RecSys, 2020 - academia.edu
Sleep is a significant contributor to leading a healthy lifestyle. Each day, most people go to
sleep without any idea about how their night's rest will be or how they can leverage their …

Designing intelligent sleep analysis systems for automated contextual exploration on personal sleep-tracking data

Z Liang, W Liu, B Ploderer, J Bailey, L Kulik… - New Frontiers in Artificial …, 2017 - Springer
There are many sleep tracking technologies in the consumer market nowadays. These
technologies offer rich functions ranging from sleep pattern tracking to smart alarm clock …

SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors

Z Liang, B Ploderer, W Liu, Y Nagata, J Bailey… - Personal and Ubiquitous …, 2016 - Springer
Getting enough quality sleep is a key part of a healthy lifestyle. Many people are tracking
their sleep through mobile and wearable technology, together with contextual information …

Handling missing data for sleep monitoring systems

S Gashi, L Alecci, M Gjoreski… - 2022 10th …, 2022 - ieeexplore.ieee.org
Sensor-based sleep monitoring systems can be used to track sleep behavior on a daily
basis and provide feedback to their users to promote health and well-being. Such systems …

Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality

M Farajtabar, E Kıcıman, G Nathan… - International Journal of …, 2019 - Springer
While recent data studies have focused on associations between sleep and exercise
patterns as captured by digital fitness devices, it is known that sleep and exercise quality are …

0256 Modeling Individual Sleep Needs from Wearable-Device Data

P Shah, R Braun - Sleep, 2023 - academic.oup.com
Introduction There are currently thought to be two processes that interact to regulate one's
sleep/wake cycle: a sleep homeostat, which depends on the amount of time you have been …

Sleepapp: Providing contextualized and actionable sleep feedback

R Ravichandran, SN Patel, JA Kientz - Proceedings of the 14th EAI …, 2020 - dl.acm.org
Most commercial sleep sensors typically rely on population-level data and focus on
recommendations based on objective metrics such as sleep duration or sleep efficiency …

Paris: Personalized activity recommendation for improving sleep quality

M Singh, S Goel, A Mohan, L Kazaglis… - arXiv preprint arXiv …, 2021 - arxiv.org
The quality of sleep has a deep impact on people's physical and mental health. People with
insufficient sleep are more likely to report physical and mental distress, activity limitation …