TY - GEN
T1 - Extracting user preference from human natural interactions with physical items
AU - Yu, Zhiyong
AU - Chen, Guolong
AU - Yu, Zhiwen
AU - Zhou, Xingshe
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - natural interaction
KW - preference acquisition
KW - signal processing
UR - http://www.scopus.com/inward/record.url?scp=81055149827&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2011.6061732
DO - 10.1109/ICSPCC.2011.6061732
M3 - 会议稿件
AN - SCOPUS:81055149827
SN - 9781457708947
T3 - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
BT - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
T2 - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
Y2 - 14 September 2011 through 16 September 2011
ER -