Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings.
DOI: 10.1109/iswc.2003.1241411
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Towards a design framework for wearable electronic textiles

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Cited by 46 publications
(24 citation statements)
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“…Hansson et al [7] used accelerometers to measure joint angles. In [15] and [9] the accelerometers were attached to the pants to detect activities like sitting, standing, walking and lying. Toney [14] used conventional pressure sensors to measure finger joint angles.…”
Section: Related Workmentioning
confidence: 99%
“…Hansson et al [7] used accelerometers to measure joint angles. In [15] and [9] the accelerometers were attached to the pants to detect activities like sitting, standing, walking and lying. Toney [14] used conventional pressure sensors to measure finger joint angles.…”
Section: Related Workmentioning
confidence: 99%
“…The angle formed by these three points as shown in Figure 9 is calculated and the discrete derivative of the resulting angles is the final piezoelectric sensor output. The model was verified using the analytical results from a pendulum in [12]. For this particular appli- ure gives the actual data from a physical piezoelectric sensor.…”
Section: Shape-sensing Pantsmentioning
confidence: 97%
“…In a previous paper, we described the design issues associated with e-textiles [12]. This section summarizes these design issues here to make clear the relationship between the modules of the simulation environment described in Section 3.…”
Section: E-textile Design Issuesmentioning
confidence: 99%
“…An open question is whether this goal is feasible, and if so, what is the subset of the population should be used to train the garment to achieve this goal. We have previously reported on using the environment to explore the the dynamic range required of the sensors when placed on different locations on the body and the accuracy of the application when trained on different subsets of the population [12]. The results show that the accuracy is highly dependent on which range of individuals is used to train the neural network.…”
Section: Shape-sensing Pantsmentioning
confidence: 99%