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Issue No. 02 - April-June (2012 vol. 3)
ISSN: 1949-3045
pp: 145-151
Hio Chon Ho , Dept. of Electr. & Electron. Eng., Univ. of Macau, Taipa, China
Peng Un Mak , Dept. of Electr. & Electron. Eng., Univ. of Macau, Taipa, China
Yue Ming Gao , Key Lab. of Med. Instrum. & Pharm. Technol., China
Sio Hang Pun , Dept. of Electr. & Electron. Eng., Univ. of Macau, Taipa, China
Kin Weng Che , Dept. of Electr. & Electron. Eng., Univ. of Macau, Taipa, China
Hang Kin Ieong , Dept. of Electr. & Electron. Eng., Univ. of Macau, Taipa, China
Kuok Hong Wu , Dept. of Electr. & Electron. Eng., Univ. of Macau, Taipa, China
Mang I. Vai , Dept. of Electr. & Electron. Eng., Univ. of Macau, Taipa, China
Min Du , Key Lab. of Med. Instrum. & Pharm. Technol., China
ABSTRACT
The human machine interface (HMI) is a main communication method between human and computer. Through current HMI, a machine receives and accurately responds to the commands instructed by the users. In the next generation of HMI, machines will be required to deal with more challenging problems/decisions (such as affective evaluations, ethical quandaries, and other innovations) in a self-governing manner. Thus, future HMI should be able to provide information about users' emotion to the machine for affective evaluation. In this paper, we focus on the natural connection method that can improve machines in making the acquaintance of the users. However, connecting sensors scattered on the human body poses serious problems concerning comfort and convenience. Therefore, the authors introduce the Intra Body Communication (IBC) for connecting various physiological sensors on the human body such that the physiological information can enrich the capability of the computer in cognition of the user's emotion. In addition, the authors also reported two pilot studies: using the IBC for connecting the physiological sensor on the human body and using the physiological parameters to estimate the degree of fatigue of the user.
INDEX TERMS
sensors, biology, cognition, human computer interaction, physiology, atigue, galvanic intrabody communication, affective computing, human machine interface, HMI, intra body communication, IBC, physiological sensors, physiological parameters, Muscles, Electrocardiography, Fatigue, Computers, Sensors, Humans, Electrodes, fatigue degree., Human machine interface, intrabody communication, emotion evaluation
CITATION
Hio Chon Ho, Peng Un Mak, Yue Ming Gao, Sio Hang Pun, Kin Weng Che, Hang Kin Ieong, Kuok Hong Wu, Mang I. Vai, Min Du, "Galvanic Intrabody Communication for Affective Acquiring and Computing", IEEE Transactions on Affective Computing, vol. 3, no. , pp. 145-151, April-June 2012, doi:10.1109/T-AFFC.2011.24
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