Tennis Stroke Classification: Comparing Wrist and Racket as IMU Sensor Position

Rainhard Findling, Christopher J. Ebner

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

Automatic tennis stroke recognition can help tennis players im-
prove their training experience. Previous work has used sensors
positions on both wrist and tennis racket, of which different physi-
ological aspects bring different sensing capabilities. However, no
comparison of the performance of both positions has been done yet.
In this paper we comparatively assess wrist and racket sensor posi-
tions for tennis stroke detection and classification. We investigate detection and classification rates with 8 well-known stroke types and visualize their differences in 3D acceleration and angular velocity. Our stroke detection utilizes a peak detection with thresholding and windowing on the derivative of sensed acceleration, while for our stroke recognition we evaluate different feature sets and classification models. Despite the different physiological aspects of wrist
and racket as sensor position, for a controlled environment results indicate similar performance in both stroke detection (98.5%-99.5%) and user-dependent and independent classification (89%-99%).
AlkuperäiskieliEnglanti
Otsikko17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)
KustantajaACM
Sivumäärä10
ISBN (elektroninen)978-1-4503-7178-0
DOI - pysyväislinkit
TilaHyväksytty/In press - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Advances in Mobile Computing and Multimedia - Munich, Saksa
Kesto: 2 joulukuuta 20194 joulukuuta 2019
Konferenssinumero: 17

Conference

ConferenceInternational Conference on Advances in Mobile Computing and Multimedia
LyhennettäMoMM
MaaSaksa
KaupunkiMunich
Ajanjakso02/12/201904/12/2019

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  • Siteeraa tätä

    Findling, R., & Ebner, C. J. (Hyväksytty/painossa). Tennis Stroke Classification: Comparing Wrist and Racket as IMU Sensor Position. teoksessa 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019) ACM. https://doi.org/10.1145/3365921.3365929