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A wearable fatigue monitoring system: application of human-computer interaction evaluation
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Source ACM International Conference Proceeding Series; Vol. 169 archive
Proceedings of the 7th Australasian User interface conference - Volume 50 table of contents
Hobart, Australia
Pages: 161 - 164  
Year of Publication: 2006
ISBN ~ ISSN:1445-1336 , 1-920682-32-5
Authors
Soichiro Matsushita  Department of Computational Science and Engineering, School of Engineering, Toyo University, Kawagoe, Saitama, Japan
Ayumi Shiba  Department of Computational Science and Engineering, School of Engineering, Toyo University, Kawagoe, Saitama, Japan
Kan Nagashima  Department of Computational Science and Engineering, School of Engineering, Toyo University, Kawagoe, Saitama, Japan
Publisher
Australian Computer Society, Inc.  Darlinghurst, Australia, Australia
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ABSTRACT

We developed a wearable fatigue monitoring system with a high-sensitivity 2-axis accelerometer and an on-board signal processing microcontroller. The proposed system measures faint motion of the user's head while the user is trying to stand still for 30 seconds. The two axes of the accelerometer were settled parallel to the ground. As one of the candidates for diagnostic parameters, we adopted a time-integral of acceleration trace pattern length, which was defined as the length between the adjacent two acceleration X-Y plots. As artificially introduced physical stress such as running as well as some physically or mentally exhausted situations made consistent changes in the acceleration trace length, the proposed system was shown to have a capability of evaluating the degree of tiredness. Then we applied the proposed system to evaluation of human-computer interaction. We performed experiments on a computer entertainment using immersive display devices such as head-mounted displays and wide-angle plasma displays. As a result, the measured values of the acceleration trace length showed some inconsistency with user-interviews consist of subjective questionnaires about the user's fatigue.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Soichiro Matsushita: colleagues
Ayumi Shiba: colleagues
Kan Nagashima: colleagues