IART: Inertial Assistant Referee and Trainer for Race Walking

Caporaso, Teodorico; Grazioso, Stanislao

doi:10.3390/s20030783

Cited by 17 publications

(12 citation statements)

References 18 publications

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“…Table 5 b displays the rest of the statistical parameters. The ROC curve is shown in Figure 6 and the AUC (area under the curve) is 0.66 or 66% [ 20 ]. The saturation points are seen in Figure 7 that will be discussed in the following section.…”

Section: Resultsmentioning

confidence: 99%

Design and Analysis of Electronic Head Protector for Taekwondo Sports

Qureshi

Krishnan

2022

Sensors

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Electronic point scoring systems (PSS) for vests are heavily relied upon in taekwondo. However, no classification and assessment of legal and illegal taekwondo techniques exist. This is also referred to as hit-validation and the objective of this research is to create an electronic helmet (eHelmet) for hit-validation. Three main studies were performed to achieve this objective: Robustness Testing, Sensor Placement and Classification of Impacts to the head. The first two studies are preliminary to the main Classification of Impacts study. This is needed as no data sets using an IMU are currently available for taekwondo. Robustness Testing: proved that IMU can in-fact be used in the inherently harsh environments of taekwondo with a linear response. The calculated response for the IMU is: f(x) = mx + b, where m is 0.2947 and b is 1.499 (accelerometer) and f(x) = mx + b, where m is 28.33 and b is 84.8 (gyroscope). Sensor Placement: Qualitatively and quantitatively concluded the ideal location for the sensor and electronics is indeed the back of the head, based on durability, cost, human factors, and signal quality. Classification of Impacts: IMU classified real-world impacts with 90% accuracy. The two classes were roundhouse kick (legal) and punch (illegal). An eHelmet using an IMU is capable of classifying impacts with high accuracy. The benefit of our system includes low cost, lightweight algorithm for on-device computing (edge computing), and real-time classification. Furthermore, it possesses all the safety requirements of current protective headgear.

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Section: Resultsmentioning

confidence: 99%

Design and Analysis of Electronic Head Protector for Taekwondo Sports

Qureshi

Krishnan

2022

Sensors

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“…For future studies, qualitative data such as rating of perceived exertion surveys could be examined alongside the data collected from the quantitative wearables data and be analyzed using a mixed methods approach in combination with temporal pattern (T-pattern) analysis [ 45 , 46 ]. Additional hypothesis testing could be conducted to directly compare player positions and individuals to each other, and data visualization techniques such as k-means clustering [ 47 ], histograms [ 26 ], and radar charts [ 48 , 49 , 50 ] could be used to distinguish how individual players compare in the variables measured. Relationships should be investigated between muscle activation and methods commonly used to measure internal load such as heart rate monitoring and sRPE surveying.…”

Section: Discussionmentioning

confidence: 99%

External Load and Muscle Activation Monitoring of NCAA Division I Basketball Team Using Smart Compression Shorts

Saucier¹,

Davarzani

Burch³

et al. 2021

Sensors

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There is scarce research into the use of Strive Sense3 smart compression shorts to measure external load with accelerometry and muscle load (i.e., muscle activations) with surface electromyography in basketball. Sixteen external load and muscle load variables were measured from 15 National Collegiate Athletic Association Division I men’s basketball players with 1137 session records. The data were analyzed for player positions of Centers (n = 4), Forwards (n = 4), and Guards (n = 7). Nonparametric bootstrapping was used to find significant differences between training and game sessions. Significant differences were found in all variables except Number of Jumps and all muscle load variables for Guards, and all variables except Muscle Load for Forwards. For Centers, the Average Speed, Average Max Speed, and Total Hamstring, Glute, Left, and Right Muscle variables were significantly different (p < 0.05). Principal component analysis was conducted on the external load variables. Most of the variance was explained within two principal components (70.4% in the worst case). Variable loadings of principal components for each position were similar during training but differed during games, especially for the Forward position. Measuring muscle activation provides additional information in which the demands of each playing position can be differentiated during training and competition.

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“…Table 5b displays the rest of the statistical parameters. The ROC curve is shown in Figure 6 and the AUC (area under the curve) is 0.66 or 66% [20]. The saturation points are seen in Figure 7 that will be discussed in the following section.…”

Section: Classification Of Impactsmentioning

confidence: 95%

Design and Analysis of Electronic Head Protector for Taekwondo Sports

Qureshi¹,

Krishnan²

2022

Preprint

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Electronic point scoring systems (PSS) for vests are heavily relied upon in taekwondo. However, no classiﬁcation and assessment of legal and illegal taekwondo techniques exist. This is also referred to as hit-validation and the objective of this research is to create an electronic helmet (eHelmet)forhit-validation. Threemainstudieswereperformedtoachievethisobjective: Robustness Testing, Sensor Placement and Classiﬁcation of Impacts to the head. The ﬁrst two studies are preliminary to the main Classiﬁcation of Impacts study. This is needed as no data sets using an IMU are currently available for taekwondo. Robustness Testing: proved that IMU can in-fact be used in the inherently harsh environments of taekwondo with a linear response. The calculated response for theIMUis: f(x)=mx+b,wheremis0.2947andbis1.499(accelerometer)andf(x)=mx+b,wherem is 28.33 and b is 84.8 (gyroscope). Sensor Placement: Qualitatively and quantitatively concluded the ideal location for the sensor and electronics is indeed the back of the head, based on durability, cost, human factors, and signal quality. Classiﬁcation of Impacts: IMU classiﬁed real-world impacts with 90% accuracy. The two classes were roundhouse kick (legal) and punch (illegal). An eHelmet using an IMU is capable of classifying impacts with high accuracy. The beneﬁt of our system includes low cost, lightweight algorithm for on-device computing (edge computing), and real-time classiﬁcation. Furthermore, it possesses all the safety requirements of current protective headgear.

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IART: Inertial Assistant Referee and Trainer for Race Walking

Cited by 17 publications

References 18 publications

Design and Analysis of Electronic Head Protector for Taekwondo Sports

Design and Analysis of Electronic Head Protector for Taekwondo Sports

External Load and Muscle Activation Monitoring of NCAA Division I Basketball Team Using Smart Compression Shorts

Design and Analysis of Electronic Head Protector for Taekwondo Sports

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