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Monitoring Hand Gesture and Effort Using a Low-Cost Open-Source Microcontroller System Coupled with Force Sensitive Resistors and Electromyography Sensors

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Recent Advances in Technology Research and Education (INTER-ACADEMIA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 660))

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Abstract

In this study, we consider a low-cost open-source environment, where users interact with several computing devices and platforms. Thus, the specific usage of any tool requires a specific configuration process in order to meet the end user’s needs. The aim is to compare the effectiveness of hand gesture recognition using electromyography (EMG) electrodes when using sensors located on the forearm in comparison to force-sensitive resistor (FSR) array located over the fingers of the hand. Our study involves monitoring the movement of the fingers in a single (angular) direction corresponding to gestures of gripping and releasing objects (a single degree of freedom). Our interest is in how the relocation of sensors would affect the classification rates of finger gestures. Our study confirmed that by including EMG along the FSR sensors the classification rate for different kinds of gesture (including all fingers and wrist) increased, providing a better understanding of the complex hand dynamics. These findings can be used in machine learning systems for developing versatile hand prosthesis or in rehabilitation.

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Author information

Authors and Affiliations

  1. Faculty of Medical Bioengineering, ‘Grigore T. Popa’ University of Medicine and Pharmacy Iasi, M. Kogalniceanu Str., no. 9-13, 700454, Iasi, Romania

    Andrei Vasile Nastuta

  2. Faculty of Physics, ‘Alexandru Ioan Cuza’ University of Iasi, Carol I Blvd., no. 11, 700506, Iasi, Romania

    Catalin Agheorghiesei

Authors
  1. Andrei Vasile Nastuta
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  2. Catalin Agheorghiesei
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Corresponding author

Correspondence to Andrei Vasile Nastuta .

Editor information

Editors and Affiliations

  1. Faculty of Physics, Iasi Plasma Advanced Research Center, Alexandru Ioan Cuza University of Iasi, Iasi, Romania

    Dumitru Luca

  2. Faculty of Physics, Iasi Plasma Advanced Research Center, Alexandru Ioan Cuza University of Iasi, Iasi, Romania

    Lucel Sirghi

  3. Faculty of Physics, Iasi Plasma Advanced Research Center, Alexandru Ioan Cuza University of Iasi, Iasi, Romania

    Claudiu Costin

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Nastuta, A.V., Agheorghiesei, C. (2018). Monitoring Hand Gesture and Effort Using a Low-Cost Open-Source Microcontroller System Coupled with Force Sensitive Resistors and Electromyography Sensors. In: Luca, D., Sirghi, L., Costin, C. (eds) Recent Advances in Technology Research and Education. INTER-ACADEMIA 2017. Advances in Intelligent Systems and Computing, vol 660. Springer, Cham. https://doi.org/10.1007/978-3-319-67459-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-67459-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67458-2

  • Online ISBN: 978-3-319-67459-9

  • eBook Packages: EngineeringEngineering (R0)

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