Smart Lacelock: A Novel Shoelace Tensioning Device for Human Motion Sensing
Smart Lacelock: A Novel Shoelace Tensioning Device for Human Motion Sensing
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DOI：
10.1109/jsen.2022.3197890
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发表时间：
2022-10
影响因子：
4.3
通讯作者：
Md Rejwanul Haque;Md Rafi Islam;Zahra Bassiri;E. Sazonov;D. Martelli;Xiangrong Shen
中科院分区：
文献类型：
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作者：
Md Rejwanul Haque;Md Rafi Islam;Zahra Bassiri;E. Sazonov;D. Martelli;Xiangrong Shen
鞋载可穿戴传感器通过提供有关人体运动的丰富信息，可用于多种重要用途（活动识别、能量消耗估算等）。然而，将此类传感器可靠地安装在鞋子上仍然是一个挑战。此外，此类鞋用传感器系统中的压力传感元件由于承受较大的动态载荷，往往耐久性较差。这项工作介绍了一种名为智能鞋带锁（Smart Lacelock）的新型鞋载传感器，它采用常见的鞋带拉紧装置（鞋带锁）的形式。凭借其独特的外形，智能鞋带锁可以轻松牢固地安装在鞋子顶部，使其内置的惯性测量单元（IMU）能够对脚部进行可靠的三维运动测量。此外，智能鞋带锁集成了一个测力传感器来测量鞋带施加的力，提供与脚踝运动、脚/鞋形状变化以及地面作用力相关的有价值信息。介绍了该装置的设计细节，包括机械结构和电子电路。我们还进行了一项有十名参与者的人体研究，在自由脚踝摆动、体重转移、坐立到站立（STS）以及地面行走过程中记录了信号。结果表明，智能鞋带锁能够对单一影响因素（脚踝运动和脚部负荷）以及具有明确感兴趣事件（STS和行走）的复杂运动提供一致且可观察的响应。这种独特的能力表明，智能鞋带锁可作为人体运动信息的重要来源，以支持活动识别和步态事件检测等相关应用。
Shoe-mounted wearable sensors may serve a variety of important purposes (activity recognition, energy expenditure estimation, and so on) by providing rich information about human locomotion. However, reliably attaching such sensors to shoes still remains a challenge. Furthermore, pressure-sensing elements in such shoe sensor systems often suffer from poor durability due to the large dynamic load. This work presents a novel shoe-mounted sensor named Smart Lacelock, which takes the form of a common shoelace tensioning device (shoelace lock). With its unique form factor, the Smart Lacelock can be securely attached to the top of a shoe with minimal effort, enabling its embedded inertia measurement unit (IMU) to provide reliable 3-D motion measurement of the foot. Furthermore, the Smart Lacelock incorporates a load cell to measure the force applied by the shoelace, providing valuable information related to ankle movement, foot/shoe shape change, and ground force. Design details of the device are presented, including the mechanical structure and electronic circuitry. We also conducted a ten-participant human study, in which signals were recorded during free ankle swing, body weight (BW) shifting, sit-to-stand (STS), and overground walking. The results demonstrated the Smart Lacelock’s capability of providing consistent and observable responses to single contributing factors (ankle movement and foot loading) as well as complex movements with clearly defined events of interest (STS and walking). Such unique capability suggests that the Smart Lacelock may serve as an important source of human movement information to support related applications such as activity recognition and gait event detection.