@techreport{oai:ipsj.ixsq.nii.ac.jp:00046485, author = {Ahyoung, Choi and Woontack, Woo and Ahyoung, Choi and Woontack, Woo}, issue = {60(2005-UBI-008)}, month = {Jun}, note = {Emotion recognition is one of the emerging technologies to support user adaptive services in the fields of context awareness. Previous work however have mainly focused on pattern classification rather than a sensing technology or a feature extraction method. In this paper we describe a method of position based physiological sensing for analyzing a person`s emotion based on an oriental medical approach. The proposed method uses two electrodes to sense the skin response at an acupoint a specific body point used for treating a disease and a diagnosis in an oriental medicine. The sensing points are determined by the correlation coefficient between measurements and the expectation of acupoint in a forearm. In the evaluation of the proposed positions we prove the tendency that the differences of minimum value and maximum value increase after stimuli in the proposed points. This work can be applied not only to emotion recognition system but also to attention and intention recognition system., Emotion recognition is one of the emerging technologies to support user adaptive services in the fields of context awareness. Previous work,however,have mainly focused on pattern classification rather than a sensing technology or a feature extraction method. In this paper,we describe a method of position based physiological sensing for analyzing a person`s emotion based on an oriental medical approach. The proposed method uses two electrodes to sense the skin response at an acupoint,a specific body point used for treating a disease and a diagnosis in an oriental medicine. The sensing points are determined by the correlation coefficient between measurements and the expectation of acupoint in a forearm. In the evaluation of the proposed positions,we prove the tendency that the differences of minimum value and maximum value increase after stimuli in the proposed points. This work can be applied not only to emotion recognition system but also to attention and intention recognition system.}, title = {Physiological signal sensing on acupoints for emotion recognition}, year = {2005} }