Lifestreams: A modular sense-making toolset for identifying important patterns from everyday life

SenSys 2013 - Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

Volumn , Issue , 2013, Pages

  Hsieh, Cheng Kang ^a   Tangmunarunkit, Hongsuda ^a   Alquaddoomi, Faisal ^a   Jenkins, John ^b   Kang, Jinha ^a   Ketcham, Cameron ^b   Longstaff, Brent ^a   Selsky, Joshua ^b   Dawson, Betta ^a   Swendeman, Dallas ^c,d   Estrin, Deborah ^a,b   Ramanathan, Nithya ^a,e  

^a Engineering IV   (United States)

^b Cornell Tech ^*  (United States)

^c UCLA Global Center for Children and Families   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e Nexleaf Analytics ^*  (United States)

Author keywords

Mobile Health; Mobile Systems; Personal Data Analysis

Indexed keywords

DATA COMMUNICATION SYSTEMS; DATA PRIVACY; EMBEDDED SYSTEMS; FEATURE EXTRACTION; ITERATIVE METHODS; PIPELINES;

ANALYSIS TECHNIQUES; HETEROGENEOUS DATA; INTEGRATED ANALYSIS; INTERACTIVE VISUALIZATIONS; MOBILE HEALTH; MOBILE SYSTEMS; ON-BOARD SENSORS; SPATIO-TEMPORAL DATA;

DATA VISUALIZATION;

EID: 84905706688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2517351.2517368     Document Type: Conference Paper

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