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

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

Volumn , Issue , 2015, Pages

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

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

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

Indexed keywords

ACCELEROMETERS; ARTIFICIAL INTELLIGENCE; BODY SENSOR NETWORKS; CELLULAR TELEPHONES; E-LEARNING; HEALTH; LEARNING SYSTEMS; MOBILE DEVICES; MOBILE PHONES; SAMARIUM; SLEEP RESEARCH; SMARTPHONES; STRESSES; SURVEYS; TELEPHONE SETS; WEARABLE TECHNOLOGY;

BIG FIVE; MENTAL HEALTH; PERSONALITY; PHONE CALLS; SKIN CONDUCTANCE; SLEEP;

WEARABLE SENSORS;

EID: 84961644323     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2015.7299420     Document Type: Conference Paper

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