Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones

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

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

73 Citations (Scopus)

Abstract

What can wearable sensors and usage of smart phones tell us about academic performance, self-reported sleep quality, stress and mental health condition? To answer this question, we collected extensive subjective and objective data using mobile phones, surveys, and wearable sensors worn day and night from 66 participants, for 30 days each, totaling 1,980 days of data. We analyzed daily and monthly behavioral and physiological patterns and identified factors that affect academic performance (GPA), Pittsburg Sleep Quality Index (PSQI) score, perceived stress scale (PSS), and mental health composite score (MCS) from SF-12, using these month-long data. We also examined how accurately the collected data classified the participants into groups of high/low GPA, good/poor sleep quality, high/low self-reported stress, high/low MCS using feature selection and machine learning techniques. We found associations among PSQI, PSS, MCS, and GPA and personality types. Classification accuracies using the objective data from wearable sensors and mobile phones ranged from 67-92%.

Original languageEnglish
Title of host publication2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
Place of PublicationPiscataway, NJ
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781467372015
ISBN (Print)9781467372022
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventBody Sensor Networks 2015 - Cambridge, United States of America
Duration: 9 Jun 201512 Jun 2015
Conference number: 12th
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?reload=true&punumber=7292452 (IEEE Conference Proceedings)

Conference

ConferenceBody Sensor Networks 2015
Abbreviated titleBSN 205
CountryUnited States of America
CityCambridge
Period9/06/1512/06/15
Other12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
Internet address

Keywords

  • accelerometer
  • big five personality
  • machine learning
  • mental health
  • mobile phone
  • personality
  • phone call
  • skin conductance
  • sleep
  • smart phone
  • SMS
  • stress
  • wearable sensor

Cite this

Sano, A., Phillips, A. J., Yu, A. Z., McHill, A. W., Taylor, S., Jaques, N., Czeisler, C. A., Klerman, E. B., & Picard, R. W. (2015). Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. In 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 [7299420] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BSN.2015.7299420