GAIT PARTITIONING WITH SMART SOCKS SYSTEM

Gait is a very complex movement, involving the central nervous system and a significant part of the skeletomuscular system. Any disease that is affecting one or more of the involved parts will reflect in the gait. Therefore, gait analysis has been studied extensively in the context of early disease diagnostics, post-operation rehabilitation monitoring, and sports injury prevention. Gait cycle phase partitioning is one of the most common gait characteristic analysis methods, which utilizes the cyclical nature of human gait. Pressure sensitive mats and insoles are considered the gold standard, but some inherent limitations of these methods urge researchers to seek for alternatives. One of the proposed alternatives is Smart Sock systems, which contain textile pressure sensors. The main limitation of Smart Sock systems is the limited number of sensors, thus complicating gait phase partitioning by these systems. The present paper describes gait phase partitioning using plantar pressure signal obtained by a Smart Sock system. Six-phase partitioning was achieved, including such gait phases as initial contact, loading response, mid stance, terminal stance, pre-swing and swing phase. Mean gait cycle time values obtained from the experimental data were in accordance with the ones found in the literature.

Commercially available pressure sensors for sport and health applications: A comparative review

Pressure measurement systems have numerous applications in healthcare and sport. The purpose of this review is to: (a) describe the brief history of the development of pressure sensors for clinical and sport applications, (b) discuss the design requirements for pressure measurement systems for different applications, (c) critique the suitability, reliability, and validity of commercial pressure measurement systems, and (d) suggest future directions for the development of pressure measurements systems in this area. Commercial pressure measurement systems generally use capacitive or resistive sensors, and typically capacitive sensors have been reported to be more valid and reliable than resistive sensors for prolonged use. It is important to acknowledge, however, that the selection of sensors is contingent upon the specific application requirements. Recent improvements in sensor and wireless technology and computational power have resulted in systems that have higher sensor density and sampling frequency with improved usability – thinner, lighter platforms, some of which are wireless, and reduced the obtrusiveness of in-shoe systems due to wireless data transmission and smaller data-logger and control units. Future developments of pressure sensors should focus on the design of systems that can measure or accurately predict shear stresses in conjunction with pressure, as it is thought the combination of both contributes to the development of pressure ulcers and diabetic plantar ulcers. The focus for the development of in-shoe pressure measurement systems is to minimise any potential interference to the patient or athlete, and to reduce power consumption of the wireless systems to improve the battery life, so these systems can be used to monitor daily activity. A potential solution to reduce the obtrusiveness of in-shoe systems include thin flexible pressure sensors which can be incorporated into socks. Although some experimental systems are available further work is needed to improve their validity and reliability

THE GOOD, THE BAD AND THE UNRECOGNIZED: SMART TEXTILE SIGNAL CLUSTERING BY SELF-ORGANIZING MAP

The present article is a series of publications dedicated to the research of smart fabric sensors integrated into socks and is also part of the project aimed at developing the measuring system based on smart fabric supplied with sensors and intellectual data processing. The aim of the article is to perform a practical study on the application of Self-Organizing Map to smart textile signal clustering. Within the framework of the research, different approaches to the organization of network training are explored. A method for encoding an input pattern is also proposed. It has been established that the network is able to recognize the signal as a good step, a bad step, and an unrecognized step. The primary classification allows further selecting specific algorithms for a detailed analysis of good steps and bad steps. The detailed analysis of bad steps is the key to solving the problem of revealing of an athlete’s special type of fatigue, leading to injuries

Smart Fabric sensors for foot motion monitoring

Smart Fabrics or fabrics that have the characteristics of sensors are a wide and emerging field of study. This thesis summarizes an investigation into the development of fabric sensors for use in sensorized socks that can be used to gather real time information about the foot such as gait features. Conventional technologies usually provide 2D information about the foot. Sensorized socks are able to provide angular data in which foot angles are correlated to the output from the sensor enabling 3D monitoring of foot position. Current angle detection mechanisms are mainly heavy and cumbersome; the sensorized socks are not only portable but also non-invasive to the subject who wears them. The incorporation of wireless features into the sensorized socks enabled a remote monitoring of the foot

Footwear outsole temperature may be more related to plantar pressure during a prolonged run than foot temperature

Objective: The temperature of the sole of the foot has been suggested as an alternative to the measurement of plantar pressure during running despite the scarce evidence about their relationship. The temperature of the footwear outsole could also be representative of plantar pressure distribution due to its less multifactorial dependence. The aim of the study was to determine if plantar pressure during a prolonged run could be related to plantar temperature, either of the sole of the foot or the footwear outsole. Approach: Thirty recreational runners (15 males and 15 females) performed a 30-minute running test on a treadmill. Thermographic images of the sole of the foot and the footwear outsole were taken before and immediately after the test, and dynamic plantar pressure was measured at the end of the test. Pearson correlations and stepwise multiple linear regressions were performed. Main results: Plantar pressure percentage was related to a moderate correlation with plantar temperature percentage in forefoot and rearfoot (P<0.05), showing a greater relationship with the footwear outsole than with the sole of the foot (r=0.52–0.73 vs r=0.40–0.61, respectively). Moreover, moderate correlations were also observed between footwear outsole and sole of the foot temperature variables, especially in rearfoot. Significance: Footwear outsole temperature may be better related to plantar pressure distribution than sole of the foot temperature, in the forefoot and rearfoot. The midfoot is the most sensitive and variable region to analyze, as it does not seem to have any relationship with plantar pressure

Smart Textile Sock System for Athletes’ Self-Correction during Functional Tasks: Formative Usability Evaluation

Funding Information: This publication has been developed with financing from the European Social Fund and Latvian state budget within the project no. 8.2.2.0/20/I/004, “Support for involving doctoral students in scientific research and studies”, at Rīga Stradin, š University. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.(1) Background: The development of a lightweight, easy-to-use system that measures the foot’s plantar pressure is becoming an increasingly important area of research in physiotherapy. For further development of the smart sock system, a formative usability study was conducted, where the smart textile sock sensor system was used for self-correction during functional tasks; (2) Methods: Five athletes from the football school participated in the formative usability study. Athletes performed pre-defined functional tasks for self-correction when interacting with the smart textile sock system. Formative usability evaluation methods: effectiveness (task success rate, error rate), efficiency (time-based), satisfaction evaluated by System Usability Scale (SUS); (3) Results: Formative usability indicators: task completeness effectiveness ranged from 40% to 100% in the first-and second-stage tasks. Completed task efficiency time: Stage 1, from 4.2 s (SD 1.3) to 88.8 s (SD 19.8); Stage 2, from 7.2 s (SD 1.9) to 9.6 s (SD 2.1). Satisfaction was assessed by the SUS system user group with 76 points (SD 7.42), which indicates “good” satisfaction; (4) Conclusions: formative usability indicators showed the need for technical improvements to the smart textile sock pressure sensor system. The SUS results indicate “good” satisfaction with the smart textile sock pressure sensor system and its application.publishersversionPeer reviewe

Research progress of wearable plantar pressure monitoring system

In order to rapidly promote the application of wearable plantar pressure monitoring system, the physiological structure of human foot, the source of plantar pressure and exercise step frequency are introduced. Based on the current research status of wearable plantar pressure monitoring systems, the fabrication materials and response principles of the fabric sensor-based integrated pressure monitoring socks are explored, the principle of selecting the features of the wearable plantar pressure monitoring system and its application in the field of the pressure monitoring system is explained. The principle of selecting the features of wearable plantar pressure monitoring system and its application in fall detection, foot disease diagnosis, and plantar pressure database are explained. Finally, we discussed the problems in the industrialization of wearable plantar pressure monitoring system at this stage. The problems of poor material performance and short wireless transmission distance in the industrialization of wearable plantar pressure monitoring systems are discussed, and a better integrated system based on biomechanics, textile materials and electronic communication is proposed. A better application prospect based on the cross-fusion integration of biomechanics, textile materials and electronic communication is proposed

Gait-Based Identification Using Wearables in the Personal Fog

Wearables are becoming more computationally powerful, with increased sensing and control capabilities, creating a need for accurate user authentication. Greater control and power allow wearables to become part of a personal fog system, but introduces new attack vectors. An attacker that steals a wearable can gain access to stored personal data on the wearable. However, the new computational power can also be employed to safeguard use through more secure authentication. The wearables themselves can now perform authentication. In this paper, we use gait identification for increased authentication when potentially harmful commands are requested. We show how the relying on the processing and storage inherent in the personal fog allows distributed storage of information about the gait of the wearer and the ability to fully process this data for user authentication locally at the edge. While gait-based authentication has been examined before, we show an additional, low-power method of verification for wearables

Incorporating End-User Feedback in the Development and Validation of a Smart Textile for assessing Sports Training and Performance

Objectives: The aims of the research project were to explore the need and desire of a new sport wearable within applied practice by creating dialogue with the end-users. Furthermore, the research project sets out to quantify the reliability and validity a new sports wearable, KiTT (Knitted intelligent Textile Tracker), against the current gold-standard three-dimensional motion-analysis counter-part. Methods: Study 1 will utilise semi-structured interviews to create dialogue between the researcher and end-users. This will help provide an image into the current use of technology within applied practice. Furthermore, study 2 will capture and calculate the relative knee angles from KiTT’s raw resistance, and compare the results to that of Vicon, where reliability and validity will be assessed; this is imperative before task-specific research. Results: Study 1 identified a need, and requirement for new sport wearables, specifically in the form of e-textiles. This would enable end-users to adopt technology into their work, potentially enhancing their output. In addition, study 2 suggests that KiTT serves as a valid and reliable tool at recording relative knee angle across five commonly used sporting exercises, with high degrees of accuracy. Conclusion: End-users stated a need and requirement for technology such as KiTT to be created for adoption within their practice. Current systems are often inaccessible and can lead to performance losses. KiTT serves as a valid alternative to motion-capture, whilst offering more benefits to the user (cost-friendly, easy to use, and portable). When investigating an individual’s relative knee angle, KiTT should be considered especially in specific testing conditions