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Murugappan, M., Rizon, M., Nagarajan, R.,
Yaacob, S., Hazry, D., & Zunaidi, I. (2008). Time-
frequency analysis of EEG signals for human
emotion detection . In 4 th Kuala Lumpur Interna-
tional Conference on Biomedical Engineering
(pp. 262- 265). Springer.
Shen, T., Hsiao, T., Liu, Y., & He, T. (2008). An
ear-lead ECG based smart sensor system with
voice biofeedback for daily activity monitoring .
TENCON 2008 - 2008 IEEE Region 10 Confer-
ence (pp. 1-6).
Stroop, J. (1935). Studies of interference in serial
verbal reactions. Journal of Experimental Psy-
chology , 18 (6), 643-662. doi:10.1037/h0054651
Pearson, K. (1901). On lines and planes of
closest fit to systems of points in space. Philo-
sophical Magazine Series 6 , 2 (11), 559-572.
doi:10.1080/14786440109462720
Tamura, T., Fujimoto, T., & Togawa, T. (1997).
Quantitative assessment of behavior in dementia
patients by continuous physical activity monitor-
ing engineering in medicine and biology society.
In Proceedings of the 19 th Annual International
Conference of the IEEE (vol. 3, pp. 999-1002).
Picard, R., Vyzas, E., & Healey, J. (2001). Toward
machine emotional intelligence: Analysis of affec-
tive physiological state. [Washington, DC: IEEE
Computer Society.]. IEEE Transactions on Pat-
tern Analysis and Machine Intelligence , 23 (10),
1175-1191. doi:10.1109/34.954607
Thiruvengada, H., Srinivasan, S., & Gacic, A.
(2008). Design and implementation of an au-
tomated human activity monitoring application
for wearable devices . 2008 IEEE International
Conference on Systems, Man and Cybernetics
(pp. 2252-2258).
Rosenblatt, A. (2005). The art of managing de-
mentia in the elderly. Cleveland Clinic Journal
of Medicine , 72 (3), 3. doi:10.3949/ccjm.72.
Suppl_3.S3
Sakr, G., Elhajj, I., & Wejinya, U. (2009). Multi
level SVM for subject independent agitation de-
tection . IEEE/ASME International Conference on
Advanced Intelligent Mechatronics (pp. 538-543).
Vapnik, V. (1998). Statistical learning theory .
New York, NY: Wiley.
Yadollahi, A., & Moussawi, Z. (2009). Acoustic
obstructive sleep apnea detection. In Proceedings
of the 31 st Annual International Conference of the
IEEE Eng. Med. Bio. Soc. (pp. 7110-7113).
Sakr, G. E., Elhajj, I. H., & Huijer, H. A.-S.
(2010). Support vector machines to define and
detect agitation transition. IEEE Transactions on
Affective Computing , 1 (2), 98-108. doi:10.1109/T-
AFFC.2010.2
Zhai, J., & Barreto, A. (2006). Stress recognition
using non-invasive technology. In Proceedings
of the 19 th International Florida Artificial Intel-
ligence Research Society Conference FLAIRS
(pp. 395-400).
Sakr, G. E., Elhajj, I. H., Huijer, H. A.-S., Riley-
Doucet, C., & Debnath, D. (2008). Subject
independent agitation detection. IEEE/ASME
International Conferenceon Advanced Intelligent
Mechatronics, 2008.
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