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International Conference on Pattern Recognition

ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges pp 218–232Cite as

Development and Evaluation of a Mouse Emulator Using Multi-modal Real-Time Head Tracking Systems with Facial Gesture Recognition as a Switching Mechanism

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12662))

Abstract

The objective of this study is to evaluate and compare the performance of a set of low-cost multi-modal head tracking systems incorporating facial gestures as a switching mechanism. The proposed systems are aimed to enable severely disabled patients to access a computer. In this paper, we are comparing RGB (2D) and RGB-D (3D) sensors for both head tracking and facial gesture recognition. System evaluations and usability assessment were carried out on 21 healthy individuals. Two types of head tracking systems were compared - a web camera-based and another using the Kinect sensor. The two facial switching mechanisms were eye blink and eyebrows movement. Fitts’ Test is used to evaluate the proposed systems. Movement Time (MT) was used to rank the performance of the proposed systems. The Kinect-Eyebrows system had the lowest MT, followed by the Kinect-Blink, Webcam-Blink and Webcam-Eyebrows systems. The 3D Kinect systems performed better than the 2D Vision systems for both gestures. Both Kinect systems have the lowest MT and best performance, thus showing the advantage of using depth.

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Author information

Authors and Affiliations

  1. net.connection Ltd., Moka, Mauritius

    Shivanand P. Guness

  2. School of Digital Arts and Engineering, University of Kent, Canterbury, Kent, UK

    Farzin Deravi, Konstantinos Sirlantzis & Matthew G. Pepper

  3. East Kent University Hospitals Trust, Canterbury, Kent, UK

    Matthew G. Pepper & Mohammed Sakel

Authors
  1. Shivanand P. Guness
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  2. Farzin Deravi
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  3. Konstantinos Sirlantzis
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  4. Matthew G. Pepper
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  5. Mohammed Sakel
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Corresponding author

Correspondence to Shivanand P. Guness .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Alberto Del Bimbo

  2. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Rita Cucchiara

  3. Department of Computer Science, Boston University, Boston, MA, USA

    Stan Sclaroff

  4. Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

    Giovanni Maria Farinella

  5. Cloud & AI, JD.COM, Beijing, China

    Tao Mei

  6. Dipartimento di Ingegneria dell’Informazione, Universita di Firenze, Firenze, Italy

    Marco Bertini

  7. Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Puebla, Mexico

    Hugo Jair Escalante

  8. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Roberto Vezzani

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Guness, S.P., Deravi, F., Sirlantzis, K., Pepper, M.G., Sakel, M. (2021). Development and Evaluation of a Mouse Emulator Using Multi-modal Real-Time Head Tracking Systems with Facial Gesture Recognition as a Switching Mechanism. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12662. Springer, Cham. https://doi.org/10.1007/978-3-030-68790-8_18

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  • DOI: https://doi.org/10.1007/978-3-030-68790-8_18

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