Gesture Recognition on Textile-Based Pressure Sensor Array

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

Wearable technologies are in pursuit of designing portable devices worn by people. In this paper, gesture recognition on a sleeve having a capacitive textile-based pressure sensor array has been developed. Machine learning models are generated to recognize a set of gestures by accumulating capacitance values read from a sensor array during the execution of gestures. The performance of the gesture recognition system is evaluated in the experiments conducted with human test subjects. Real-time gesture prediction is achieved using the trained model. The performed gestures and predicted data are collected and analyzed, resulting in accuracies up to 86'.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıEEITE 2024 - Proceedings of 2024 5th International Conference in Electronic Engineering, Information Technology and Education
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9798350372878
DOI'lar
Yayın durumuYayınlandı - 2024
Etkinlik5th International Conference in Electronic Engineering, Information Technology and Education, EEITE 2024 - Chania, Greece
Süre: 29 May 202431 May 2024

Yayın serisi

AdıEEITE 2024 - Proceedings of 2024 5th International Conference in Electronic Engineering, Information Technology and Education

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???event.eventtypes.event.conference???5th International Conference in Electronic Engineering, Information Technology and Education, EEITE 2024
Ülke/BölgeGreece
ŞehirChania
Periyot29/05/2431/05/24

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Publisher Copyright:
© 2024 IEEE.

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