Human motion monitoring in sports using wearable graphene-coated fiber sensors

Zhang, Jinnan; Cao, Yanghua; Qiao, Min; Ai, Lingmei; Sun, Kaize; Mi, Qing; Zang, Siyao; Zuo, Yong; Yuan, Xueguang; Wang, Qi

doi:10.1016/j.sna.2018.03.011

Cited by 77 publications

(43 citation statements)

References 26 publications

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“…[191,192] Stretchable strain sensors can intimately couple with different locations of the body, resulting in highly localized tracking of sport activities. [1,192] Real-time monitoring of biophysical parameters such as respiration and heart rates through wearable strain sensors provides deep insights into the physiological health state of athletes before, during, and after physical activities (Figure 9). Figure 11a shows the use of wearable graphene-fiber strain sensors for monitoring the gesture of a soccer player during the shooting event.…”

Section: Sport Performance Monitoringmentioning

confidence: 99%

“…Figure 11a shows the use of wearable graphene-fiber strain sensors for monitoring the gesture of a soccer player during the shooting event. [192] The strain sensors were attached to the knee, ankle, and elbow of the player, and their sensory response was recorded. As shown in the figure, the strain sensors were able to monitor the entire process of soccer shots, providing detailed data for the analysis of the shooting gesture.…”

Section: Sport Performance Monitoringmentioning

confidence: 99%

Section: Soft Robotics and Neuromechanicsmentioning

confidence: 99%

See 2 more Smart Citations

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Souri¹,

Banerjee

Jusufi

et al. 2020

Advanced Intelligent Systems

404

289

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Recent advances in the design and implementation of wearable resistive, capacitive, and optical strain sensors are summarized herein. Wearable and stretchable strain sensors have received extensive research interest due to their applications in personalized healthcare, human motion detection, human–machine interfaces, soft robotics, and beyond. The disconnection of overlapped nanomaterials, reversible opening/closing of microcracks in sensing films, and alteration of the tunneling resistance have been successfully adopted to develop high‐performance resistive‐type sensors. On the other hand, the sensing behavior of capacitive‐type and optical strain sensors is largely governed by their geometrical changes under stretching/releasing cycles. The sensor design parameters, including stretchability, sensitivity, linearity, hysteresis, and dynamic durability, are comprehensively discussed. Finally, the promising applications of wearable strain sensors are highlighted in detail. Although considerable progress has been made so far, wearable strain sensors are still in their prototype stage, and several challenges in the manufacturing of integrated and multifunctional strain sensors should be yet tackled.

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Section: Sport Performance Monitoringmentioning

confidence: 99%

Section: Sport Performance Monitoringmentioning

confidence: 99%

See 1 more Smart Citation

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Souri¹,

Banerjee

Jusufi

et al. 2020

Advanced Intelligent Systems

404

289

View full text Add to dashboard Cite

show abstract

“…Human motion recognition (HMR) is a technology domain that recognizes and distinguishes different types of human activities using sensor data [ 1 ]; it is widely used in rehabilitation and medical treatment like the classification and rehabilitation evaluation of patients with hip osteoarthritis, neurological disorders such as stroke, and Parkinson’s disease through gait analysis [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. It also has been used in training assistance like exercise coaching through motion tracking and feedback, speed and position tracking in sports training [ 12 , 13 , 14 , 15 , 16 , 17 ], sudden fall prevention [ 18 ] along with the development of wearable sensor technology. This paper describes the development of a foot–ground contact phase classification (FGCC) algorithm as FGCC is one of the most fundamental and elemental processes in lower-limb motion analysis.…”

Section: Introductionmentioning

confidence: 99%

Fast Wearable Sensor–Based Foot–Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping

Jeon

Kim

et al. 2020

Sensors

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Classification of foot–ground contact phases, as well as the swing phase is essential in biomechanics domains where lower-limb motion analysis is required; this analysis is used for lower-limb rehabilitation, walking gait analysis and improvement, and exoskeleton motion capture. In this study, sliding-window label overlapping of time-series wearable motion data in training dataset acquisition is proposed to accurately detect foot–ground contact phases, which are composed of 3 sub-phases as well as the swing phase, at a frequency of 100 Hz with a convolutional neural network (CNN) architecture. We not only succeeded in developing a real-time CNN model for learning and obtaining a test accuracy of 99.8% or higher, but also confirmed that its validation accuracy was close to 85%.

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“…In the last few years, many studies on detecting motions using kinematic, multiple accelerations, miniature inertial, magnetic sensors have been reported in various fields [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. As these sensors have a limitation in terms of wearability and accuracy, a variety of studies have reported flexible, stretchable and high-sensitivity strain or pressure sensors fabricated by graphene [ 10 , 11 , 12 ], CNT [ 13 , 14 , 15 ], and nanowire composite structures [ 16 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of Metal Thickness on the Sensitivity of Crack-Based Sensors

Lee

Kim

Suh

et al. 2018

Sensors

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Among many attempts to make a decent human motion detector in various engineering fields, a mechanical crack-based sensor that deliberately generates and uses nano-scale cracks on a metal deposited thin film is gaining attention for its high sensitivity. While the metal layer of the sensor must be responsible for its high performance, its effects have not received much academic interest. In this paper, we studied the relationship between the thickness of the metal layer and the characteristics of the sensor by depositing a few nanometers of chromium (Cr) and gold (Au) on the PET film. We found that the sensitivity of the crack sensor improves/increases under the following conditions: (1) when Au is thin and Cr is thick; and (2) when the ratio of Au is lower than that of Cr, which also increases the transmittance of the sensor, along with its sensitivity. As we only need a small amount of Au to achieve high sensitivity of the sensor, we have suggested more efficient and economical fabrication methods. With this crack-based sensor, we were able to successfully detect finger motions and to distinguish various signs of American Sign Language (ASL).

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Human motion monitoring in sports using wearable graphene-coated fiber sensors

Cited by 77 publications

References 26 publications

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Fast Wearable Sensor–Based Foot–Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping

Effect of Metal Thickness on the Sensitivity of Crack-Based Sensors

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