Evaluation of Input using Wrinkles on Clothes
Kentaro Ueda, Tsutomu Terada, Masahiko Tsukamoto · 2018
Wearable computing has created textile-based interfaces utilizing the interaction between the user and cloth for operation, as well as the touch and the pinch input operation. The user wears and uses the device in various postures, environments, and operating positions that affect the operation speed and accuracy. However, no study has assessed touching and pinching using the same input interface. One of the textile interfaces has an input interface using wrinkles on clothes, and we have evaluated the input for the same. We designed three touch input methods and one pinch input method. We implemented the input and the output device which use wrinkles and carried out four evaluations. The results indicated that the pinch input reached the highest accuracy of 98% of four input methods after learning and achieved the accuracy of 95% or more irrespective of postures and positions. The narrowing-down selection reached the fastest input time of 1.85 seconds of four methods after learning and achieved the quickest input when participants were stationary, while the double touch was the most rapid when walking. According to the result of the wrinkle recognition, users have a high accuracy of the identification of wrinkles of 89.4% and recognize their shape in approximately 12 seconds.