Moodrhythm: Tracking and supporting daily rhythms

Stephen Voida, Mark Matthews, Saeed Adbullah, Mengxi Chi, Matthew Green, Won Jun Jang, Donald Hu, John Weinrich, Prashama Patil, Mashfiqui Rabbi, Tauhidur Rahman, Geri Gay, Ellen Frank, Tanzeem Choudhuray

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

19 Scopus citations

Abstract

Rhythms guide our lives. Our biological clocks tell us when we need to sleep, eat and wake. But our use of technology can interrupt and obstruct these rhythms, making it difficult for our bodies to get what they need to stay healthy and balanced. Our MoodRhythm app helps individuals to live a more naturally rhythmic day. The key goals of MoodRhythm are to use patients' smartphones to actively and passively track daily rhythms and to provide affective feedback that can help patients to maintain a regular daily rhythm, while feeding this clinically valuable information back to their physicians.

Original languageEnglish (US)
Title of host publicationUbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing
Pages67-70
Number of pages4
DOIs
StatePublished - 2013
Event2013 ACM Conference on Ubiquitous Computing, UbiComp 2013 - Zurich, Switzerland
Duration: Sep 8 2013Sep 12 2013

Publication series

NameUbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing

Other

Other2013 ACM Conference on Ubiquitous Computing, UbiComp 2013
CountrySwitzerland
CityZurich
Period9/8/139/12/13

All Science Journal Classification (ASJC) codes

  • Software

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