Design of a Textile Sensor Embedded Shirt for Posture Monitoring

Drashti Sikligar, Linda Nguessan, Diana Pham, Jesse Grupper, Alex Beaudette, Anissa Ling, C. Walsh, Holly M. Golecki
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Abstract

Poor posture leading to neck and back pain can be caused by long hours sitting in front of computer screens in ergonomically inadequate office furniture or in makeshift home offices. For most individuals, recognizing and correcting for poor posture is an uncommon practice. Poor seated posture is characterized by protracted scapulae, increased kyphosis, and a flexed lumbar spine. Toward a wearable system that performs continuous monitoring, we developed a textile sensor embedded garment. Using textile sensors sewn into a shirt, we test the capability of our design to read curvatures related to seated posture. First, textile sensors were evaluated for fabrication and data collection ease. Next, sensors embedded in shirt designs were evaluated for their ability to produce data that can be recognized as good or poor posture across a user’s back. Designs leveraging e-textiles and snap circuitry enable textile sensor posture readings in a wearable device that is soft and durable. Results from this proof-of-concept prototype show that such customizable garments may enable the study of specific muscle groups related to various postures in the future. Sensor technology embedded in everyday wear garments holds promise for integrating continuous postural monitoring to commercially available clothing.
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一种用于姿态监测的纺织品传感器嵌入式衬衫的设计
在不符合人体工程学的办公家具或临时家庭办公室里长时间坐在电脑屏幕前,会导致颈部和背部疼痛。对大多数人来说,识别和纠正不良姿势是一种罕见的做法。不良坐姿的特点是肩胛骨延长,后凸增加,腰椎屈曲。为了实现连续监测的可穿戴系统,我们开发了一种嵌入服装的纺织传感器。我们使用缝在衬衫上的纺织品传感器,测试了我们的设计读取与坐姿有关的曲线的能力。首先,对纺织传感器的制造和数据采集的方便性进行了评价。接下来,研究人员评估了嵌入衬衫设计中的传感器产生数据的能力,这些数据可以识别用户背部的良好或不良姿势。利用电子纺织品和snap电路的设计使纺织传感器姿势读数在柔软耐用的可穿戴设备中。这个概念验证原型的结果表明,这种可定制的服装可以在未来研究与各种姿势相关的特定肌肉群。传感器技术嵌入到日常穿着的服装中,有望将持续的姿势监测集成到商用服装中。
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