. Jennifer A. Healey, Wearable and Automotive Systems for Affect Recognition from Physiology, Ph.D. dissertation, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, May 2000, ftp://whitechapel.media.mit.edu/pub/tech-reports/TR-526.ps.Z  Home/Search Document Details and Download
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Toward Machine Emotional Intelligence: Analysis of.. - Picard, Vyzas, al. (7 citations) Self-citation (Healey) (Correct)
....for which this sampling rate should have caused aliasing. However, our investigation of the signal showed that it registered cally computed the heart rate (H) as a function of the inter beat intervals of the blood volume pressure, B. More details on this system and on our methodology are available [38]. Each day s session lasted around 25 minutes, resulting in around 28 to 33 thousand samples per physiological signal, with each different emotion segment being around 2 to 5 thousand samples long, due to the variation built into the Clynes method of eliciting the emotional states [33] Eight ....
....the emotion, vs. a situation or stimulus outside the subject eliciting it. Our group at MIT has recently designed and built environments that focus on emotions not generated deliberately by the subject, e.g. collecting affective data from users driving automobiles in city and highway conditions [38] and from users placed in frustrating computer situations [51] both of these areas aim at data generation in an event elicited, close to real world, feeling, open recording, other purpose experiment, with effort to make the open recording so comfortable that it is effectively ignored. ....
J. A. Healey, Wearable and Automotive Systems for Affect Recognition from Physiology. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA, May 2000. TR 526.
Sensor Data Fusion for Context-Aware Computing Using.. - Wu (2003) (Correct)
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. Jennifer A. Healey, Wearable and Automotive Systems for Affect Recognition from Physiology, Ph.D. dissertation, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, May 2000, ftp://whitechapel.media.mit.edu/pub/tech-reports/TR-526.ps.Z
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