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- WISS2017 導電繊維編み込み手袋を用いた手形状認識手法
- WISS2017 ドウデン センイ アミ コミ テブクロ オ モチイタ テガタジョウ ニンシキ シュホウ
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We show a hand shape recognition technique using conductive fiber included in a glove for a data glove. This technique estimates the bend of each finger and detects fingers' contact as the hand shape. For estimating the bend, the technique measures the electrical resistance of conductive fiber; the resistance decreases as the finger bends because the surface of the glove short-circuits. For detecting fingers' contact, the technique applies alternating currents of different frequencies on each finger and observes the signal propagation between the fingers. We conducted experiments to clarify the relationship between bend angles and the resistance of conductive fiber. Moreover, we compared the resistance of conductive fiber with that of a bend sensor. We also evaluated the accuracy of fingers' contact detection implemented using machine learning. Finally, we show that the technique also detects the contact of a pair of gloves, which are electrically independent, by observing propagated signals.
- Computer Software
Computer Software 35 (3), 3_45-3_56, 2018-07-25
Japan Society for Software Science and Technology