Smart Lacelock: A Novel Shoelace Tensioning Device for Human Motion Sensing

Haque, Rejwanul; Islam, Md Rafi; Bassiri, Zahra; Sazonov, Edward; Martelli, Dario; Shen, Xiangrong

doi:10.1109/jsen.2022.3197890

Cited by 5 publications

(1 citation statement)

References 34 publications

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“…A number of automatic or self-lacing smart shoes have been invented. Notable among them are lace-lock shoe by Haque et al (2022) shown in Figure 4(c), Nike’s Adapt BB, a self-lacing basketball shoe (Myers et al , 2019) and Digitsole’s self-lacing smart shoe (Dormehl, 2017).…”

Section: Applicationsmentioning

confidence: 99%

Review of development trends in smart shoe applications

Raji,

Han,

et al. 2024

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Purpose At the moment, in terms of both research and commercial products, smart shoe technology and applications seem not to attract the same magnitude of attention compared to smart garments and other smart wearables such as wrist watches and wrist bands. The purpose of this study is to fill this knowledge gap by discussing issues regarding smart shoe sensing technologies, smart shoe sensor placements, factors that affect sensor placements and finally the areas of smart shoe applications. Design/methodology/approach Through a review of relevant literature, this study first and foremost attempts to explain what constitutes a smart shoe and subsequently discusses the current trends in smart shoe applications. Discussed in this study are relevant sensing technologies, sensor placement and areas of smart shoe applications. Findings This study outlined 13 important areas of smart shoe applications. It also uncovered that majority of smart shoe functionality are physical activity tracking, health rehabilitation and ambulation assistance for the blind. Also highlighted in this review are some of the bottlenecks of smart shoe development. Originality/value To the best of the authors’ knowledge, this is the first comprehensive review paper focused on smart shoe applications, and therefore serves as an apt reference for researchers within the field of smart footwear.

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Section: Applicationsmentioning

confidence: 99%

Review of development trends in smart shoe applications

Raji,

Han,

et al. 2024

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Development of a Shoelace Tensile Testing System and Investigation into the Effects of Different Running Speeds on Shoelace Tensile Variation

Wei,

Guo,

Zhao

et al. 2024

J Bionic Eng

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This study investigated the validity and sensitivity of a custom-made shoelace tensile testing system. The aim was to analyze the distribution pattern of shoelace tension in different positions and under different tightness levels during running. Mechanical tests were conducted using 16 weights, and various statistical analyses, including linear regression, Bland-Altman plots, coefficient of variation, and intraclass correlation coefficient, were performed to assess the system’s validity. Fifteen male amateur runners participated in the study, and three conditions (loose, comfortable, and tight) were measured during an upright stance. The system utilized VICON motion systems, a Kistler force plate, and a Photoelectric gate speed measurement system. Results showed a linear relationship between voltage and load at the three sensors (R2 ≥ 0.9997). Bland-Altman plots demonstrated 95% prediction intervals within ± 1.96SD from zero for all sensors. The average coefficient of variation for each sensor was less than 0.38%. Intraclass correlation coefficient values were larger than 0.999 (p<0.0001) for each sensor. The peak tension of the front shoelace was greater than that of the front and middle when the shoelace was loose and tight. The rear shoelace had the highest tension force. The study also found that shoelace tension varied throughout the gait cycle during running. Overall, this research provides a novel and validated method for measuring shoelace tensile stress, which has implications for developing automatic shoelace fastening systems.

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