Extracting user preference from human natural interactions with physical items

Zhiyong Yu, Guolong Chen, Zhiwen Yu, Xingshe Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the help of pervasive computing, nowadays it is possible to gather user preference of physical items based on natural interaction, i.e., recognizing and recording user's actual choosing behavior by sensors, then analyzing the history to learn his/her current preference. In this paper, we propose a method based on this idea and implement a prototype to collect and apply the dietary preference. Preliminary user study shows its effectiveness.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011 - Xi'an, China
Duration: 14 Sep 201116 Sep 2011

Publication series

Name2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011

Conference

Conference2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
Country/TerritoryChina
CityXi'an
Period14/09/1116/09/11

Keywords

  • natural interaction
  • preference acquisition
  • signal processing

Fingerprint

Dive into the research topics of 'Extracting user preference from human natural interactions with physical items'. Together they form a unique fingerprint.

Cite this