Prediction of Happy-Sad mood from daily behaviors and previous sleep history

Akane Sano, Amy Z. Yu, Andrew W. McHill, Andrew J. K. Phillips, Sara Taylor, Natasha Jaques, Elizabeth B. Klerman, Rosalind W. Picard

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

24 Citations (Scopus)

Abstract

We collected and analyzed subjective and objective data using surveys and wearable sensors worn day and night from 68 participants for ∼30 days each, to address questions related to the relationships among sleep duration, sleep irregularity, self-reported Happy-Sad mood and other daily behavioral factors in college students. We analyzed this behavioral and physiological data to (i) identify factors that classified the participants into Happy-Sad mood using support vector machines (SVMs); and (ii) analyze how accurately sleep duration and sleep regularity for the past 1-5 days classified morning Happy-Sad mood. We found statistically significant associations amongst Sad mood and poor health-related factors. Behavioral factors including the frequency of negative social interactions, and negative emails, and total academic activity hours showed the best performance in separating the Happy-Sad mood groups. Sleep regularity and sleep duration predicted daily Happy-Sad mood with 65-80% accuracy. The number of nights giving the best prediction of Happy-Sad mood varied for different individuals.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)
EditorsSergio Cerutti, Paolo Bonato
Place of PublicationPiscataway, NJ
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages6796-6799
Number of pages4
ISBN (Electronic)9781424492718
ISBN (Print)9781424492695
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2015 - Milan, Italy
Duration: 25 Aug 201529 Aug 2015
Conference number: 37th
https://embc.embs.org/2015/
https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding (Proceedings)

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2015
Abbreviated titleEMBC 2015
CountryItaly
CityMilan
Period25/08/1529/08/15
Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). Our Annual Conference (known as EMBC) is a premier international conference in biomedical engineering, and has been strategically held in different locations around the world, including Chicago, Osaka, San Diego, Boston, Buenos Aires, Minneapolis, Vancouver, Lyon, New York, and Shanghai over the last 10 years.
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