【摘要】 为满足数据手套使用舒适性与轻量化需求，将市售数据手套中的Flex Sensor替换为自制的纱线传感器，制备全纺织结构数据手套，并验证纱线传感器用于手部动作监测的可行性。基于传统传感阵列部署和人手部关节运动特征，探究在数据手套的不同点位增设纱线传感器，提高其对易混淆手势的区分度。结果表明：采用纱线传感器替代Flex Sensor用于手部活动监测具有可行性；在腕部与食指、中指掌指关节(MCP关节)处额外部署纱线传感器，能够显著提高数据手套的字母手势识别准确性。更多还原

【Abstract】 To meet the comfort and lightweight requirements of data gloves in use, the commercially available Flex Sensors in data gloves were replaced with self-made yarn sensors to prepare all-textile structure data gloves, and the feasibility of using the yarn sensor for hand motion monitoring was verified. Based on traditional sensor array deployment and the movement characteristics of human hand joints, the addition of yarn sensors at different points of the data gloves to improve their discrimination of ambiguous gestures was explored. The results showed that it was feasible to use yarn sensors instead of Flex Sensors for hand motion monitoring. The additional deployment of yarn sensors at the wrist and the metacarpophalangeal joints(MCP joints) of the index and middle fingers could significantly improve the accuracy of letter gesture recognition in data gloves.更多还原