A study of intermittent adjustment to resist displacement of smart garment using posture-stable daily actions
説明
The displacement of sensors integrated into smart garments for human behavior sensing increases estimation error. To resolve this issue, we propose reducing error by intermittent adjustment using posturestable daily actions. We introduce this approach and describe our evaluation using the actions of drinking from drinking vessels and holding a doorknob to estimate elbow joint angle. The two actions provided suitable characteristics for our proposed intermittent adjustment. The adjustment results for the two actions showed 103.6 degrees of arc error reduction in the best case scenario.
収録刊行物
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- Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15
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Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15 249-252, 2015-01-01
ACM Press