دسته بندی:
اینترنت اشیاء - Internet of Things
سال انتشار:
2022
عنوان انگلیسی مقاله:
A real-time tennis level evaluation and strokes classification system based on the Internet of Things
ترجمه فارسی عنوان مقاله:
یک سیستم ارزیابی سطح تنیس در زمان واقعی و طبقه بندی ضربه ها بر اساس اینترنت اشیا
منبع:
ScienceDirect- Elsevier- Internet of Things, 17 (2022) 100494: doi:10:1016/j:iot:2021:100494
نویسنده:
Mingyue Wu
چکیده انگلیسی:
In this study a single wearable inertial measurement unit (IMU) and machine learning method-
ologies were used to conduct player level evaluation and classification five prototype tennis
strokes in real-time. The International Tennis Number (ITN) test was used to verify the accuracy
of this IoT system in evaluating participant level. We conducted the ITN test on thirty-six par-
ticipants and conducted one-way ANOVA on the ITN test results using IBM SPSS 26. The IMU in
this study contained a tri-axis accelerometer (± 16 g) and tri-axis gyroscope (± 2000◦ /s) worn on
the participants’ wrist connected to a wireless low-energy Bluetooth smart-phone with data sent
to the computer terminal by cloud storage. Data processing including preprocessing, segmenta-
tion, feature extraction, dimensionality reduction and classification using Support Vector Ma-
chines (SVM), K-nearest neighbor (K-NN) and Naive Bayes (NB) algorithms. One-way ANOVA
analysis predicting participants’ ITN level and ITN field test scores yielded p < 0.001 at the three
different skill levels tested. SVM (MinMax), SVM (Standardiser) and SVM (MaxAbsScaler) clas-
sified unique tennis strokes precision and recall factors at the three different skill levels reliably
yielded in f1-scores above 0.90 for serve, forehand and backhand, with f1-scores for forehand and
backhand volley scores falling below that. The results of this study suggest using a single six-axial
50 Hz IMU in combination with SVM and SVM + PCA represents a significant step towards a more
reliable wearable tennis stroke performance and skill level real-time evaluation and feedback
technology.
keywords: اینترنت اشیا | جمع آوری داده ها | پردازش داده ها | یادگیری ماشین | اپلیکیشن موبایل | تنیس | سنسورهای پوشیدنی | ارتباطات بی سیم | Internet of Things | Data collection | Data processing | Machine learning | Mobile application | Tennis | Wearable sensors | Wireless communication
قیمت: رایگان
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