People spend up to one-third of lives asleep, and healthy sleep habits can make a big difference in their quality of life. But in modern society, many people have unhealthy sleep diaries and suffer from various sleep disorders, which may result in irregular mood fluctuations or even mental health problems such as anxiety and depression. We propose the Emotion-Aware Smart Tips (EAST), a novel approach that could help to inform users about their irregular emotional states with smart tips to improve their sleep qualities. EAST aims at helping users keep healthy sleep schedules and emotional states by providing smart tips through a novel model that combines multivariate regression, random forest, and neural network to quantify the relations between sleep patterns and emotional states. Prototype implementation and initial experiments of EAST in mobile phones have demonstrated its desired functionality and practicality for real-world deployment.

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Yang FWu QHu XYe JYang YRao HMa RHu B(2021)Internet-of-Things-Enabled Data Fusion Method for Sleep Healthcare ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2021.30679058:21(15892-15905)Online publication date: 1-Nov-2021
https://doi.org/10.1109/JIOT.2021.3067905
Yang FYang YYe JHu XNing ZZheng J(2021)Data Fusion Enabled Approach for Sleep-Aware Applications2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM)10.1109/HEALTHCOM49281.2021.9398998(1-6)Online publication date: 1-Mar-2021
https://doi.org/10.1109/HEALTHCOM49281.2021.9398998
Fan JXu SHu X(2021)Smartphone Hypertension Detector: Monitoring Sleep Behavior to Detect Possible Hypertensive Population2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM)10.1109/HEALTHCOM49281.2021.9398996(1-3)Online publication date: 1-Mar-2021
https://doi.org/10.1109/HEALTHCOM49281.2021.9398996
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Index Terms

Poster: Emotion-Aware Smart Tips for Healthy and Happy Sleep
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing theory, concepts and paradigms
      1. Ambient intelligence
    2. Ubiquitous and mobile devices
      1. Smartphones

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MobiCom '17: Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

October 2017

628 pages

ISBN:9781450349161

DOI:10.1145/3117811

General Chair:
Kobus Van der Merwe
University of Utah
,
Program Chairs:
Ben Greenstein
Google, USA
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Kannan Srinivasan
Ohio State University, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 04 October 2017

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MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking

October 16 - 20, 2017

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Yang FWu QHu XYe JYang YRao HMa RHu B(2021)Internet-of-Things-Enabled Data Fusion Method for Sleep Healthcare ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2021.30679058:21(15892-15905)Online publication date: 1-Nov-2021
https://doi.org/10.1109/JIOT.2021.3067905
Yang FYang YYe JHu XNing ZZheng J(2021)Data Fusion Enabled Approach for Sleep-Aware Applications2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM)10.1109/HEALTHCOM49281.2021.9398998(1-6)Online publication date: 1-Mar-2021
https://doi.org/10.1109/HEALTHCOM49281.2021.9398998
Fan JXu SHu X(2021)Smartphone Hypertension Detector: Monitoring Sleep Behavior to Detect Possible Hypertensive Population2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM)10.1109/HEALTHCOM49281.2021.9398996(1-3)Online publication date: 1-Mar-2021
https://doi.org/10.1109/HEALTHCOM49281.2021.9398996
Han WHu X(2019)Alarm Sound Recommendation Based on Music Generating System5G for Future Wireless Networks10.1007/978-3-030-17513-9_7(86-95)Online publication date: 26-Apr-2019
https://doi.org/10.1007/978-3-030-17513-9_7
Han WWang JHu XCai HCheng JNing Z(2018)The Impact of Digital Alarm Sound to Human Emotions: A Case Study2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2018.00329(1903-1908)Online publication date: 7-Oct-2018
https://dl.acm.org/doi/10.1109/SMC.2018.00329

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Emotion-Aware Voice Assistants: Design, Implementation, and Preliminary Insights

Exploiting Energy Efficient Emotion-Aware Mobile Computing

Identifying Mobile Application Design to Enhance the Subjective Wellbeing among Middle-Aged Adults

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Emotion-Aware Voice Assistants: Design, Implementation, and Preliminary Insights

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