wearable sensing systems / reality data mining / cloud computing paradigms / chosen algorithm / emotion-based content services / web applications / pervasive computing / software modifications / less processing power / web platform / wearable sensor systems / backend server / web browsers / web application / study protocol / web browser / real time / mobile computing activities / sufficient processing power / signal processing / online calendar / wearable wireless sensor suite / data analysis product / backend web server / message digest algorithms / mobile computing / signal-processing code / database server / electricity / slower processors / message digest algorithm / data processing / interface web pages / yadid@media.mit.edu / FEEL backend server / wearable wireless sensors / mobile devices / Web server / Cloud computing / picard@media.mit.edu / scientific computing / /
OperatingSystem
MAC OS / Linux / Ubuntu / Android / Microsoft Windows / Windows Mobile / /
Organization
MIT / Media Lab / MIT Media Lab / /
Person
Lee / Rosalind W. Picard / Kwon / Electrodermal Activity Labeling Yadid Ayzenberg / / /
Position
researcher / first author / representative / /
Product
labels / improvement / ADHD medication / user / /
ProgrammingLanguage
MATLAB / Java / C / Python / HTML / JavaScript / /
Technology
study protocol / object-oriented programming / RAM / biosensors / relational database / Linux / API / smartphone / GPS / message digest algorithms / mobile phones / Android / Mobile device / operating system / html / SYSTEM EVALUATION The study protocol / AJAX / Missing Context TATE-OF-THE-ART technology / Mobile Devices / cellular telephone / Opteron(tm) Processor / chosen algorithm / WLAN / Java / Platform Mobile technology / MD5 message digest algorithm / mobile computing / HTTP / data mining / Digital Object Identifier / PDA / Bluetooth / Web server / GUI / /
266 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 18, NO. 1, JANUARY 2014 FEEL: A System for Frequent Event and Electrodermal Activity Labeling