Presentation 2009-07-16
MOLMOD : Analysis of Feelings based on Vital Information for Mood Acquisition
Jumpei YAMAMOTO, Mizuki KAWAZOE, Jin NAKAZAWA, Kazunori TAKASHIO, Hideyuki TOKUDA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In our daily life, we often sense the mood of a certain location by instinct. If we could develop a technique to acquire mood based on its location, we would be able to construct various systems based on this infrastructure. However, it is difficult to recognize the numerous factors involved in mood analysis. Also, each individual person has a different sense for feeling the mood, and therefore has no common model for analyzing mood. In this research, we propose "MOLMOD", a mood acquisition system which distinguishes feelings based on human vital data, and having users label the mood.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) mood of certain location / psychology of emotion / human vital information / ubiquitous computing / context aware
Paper # USN2009-19
Date of Issue

Conference Information
Committee USN
Conference Date 2009/7/9(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) MOLMOD : Analysis of Feelings based on Vital Information for Mood Acquisition
Sub Title (in English)
Keyword(1) mood of certain location
Keyword(2) psychology of emotion
Keyword(3) human vital information
Keyword(4) ubiquitous computing
Keyword(5) context aware
1st Author's Name Jumpei YAMAMOTO
1st Author's Affiliation Graduate School of Media and Governance, Keio University()
2nd Author's Name Mizuki KAWAZOE
2nd Author's Affiliation Graduate School of Media and Governance, Keio University
3rd Author's Name Jin NAKAZAWA
3rd Author's Affiliation Graduate School of Media and Governance, Keio University:Faculty of Environmental Information, Keio University
4th Author's Name Kazunori TAKASHIO
4th Author's Affiliation Graduate School of Media and Governance, Keio University:Faculty of Environmental Information, Keio University
5th Author's Name Hideyuki TOKUDA
5th Author's Affiliation Graduate School of Media and Governance, Keio University:Faculty of Environmental Information, Keio University
Date 2009-07-16
Paper # USN2009-19
Volume (vol) vol.109
Number (no) 131
Page pp.pp.-
#Pages 6
Date of Issue