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 A. Czeisler, Elizabeth B. Klerman, Rosalind W. Picard

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

77 Scopus citations

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 (US)
Title of host publication2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467372015
DOIs
StatePublished - Oct 15 2015
Externally publishedYes
Event12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 - Cambridge, United States
Duration: Jun 9 2015Jun 12 2015

Publication series

Name2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015

Conference

Conference12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
CountryUnited States
CityCambridge
Period6/9/156/12/15

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Health Informatics
  • Instrumentation
  • Signal Processing

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