Head Pose Detection for a Wearable Parrot-Inspired Robot Based on Deep Learning

Bharatharaj, Jaishankar; Huang, Loulin; Mohan, Rajesh Elara; Pathmakumar, Thejus; Krägeloh, Chris; Al-Jumaily, Ahmed

doi:10.3390/app8071081

Open AccessArticle

Head Pose Detection for a Wearable Parrot-Inspired Robot Based on Deep Learning

by

Jaishankar Bharatharaj

^1,*

,

Loulin Huang

¹,

Rajesh Elara Mohan

²,

Thejus Pathmakumar

²

,

Chris Krägeloh

³

and

Ahmed Al-Jumaily

¹

Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1010, New Zealand

²

Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore

³

School of Public Health and Psychosocial Studies, Auckland University of Technology, Auckland 1010, New Zealand

^*

Author to whom correspondence should be addressed.

Appl. Sci. 2018, 8(7), 1081; https://doi.org/10.3390/app8071081

Submission received: 8 May 2018 / Revised: 28 June 2018 / Accepted: 1 July 2018 / Published: 3 July 2018

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Abstract

Extensive research has been conducted in human head pose detection systems and several applications have been identified to deploy such systems. Deep learning based head pose detection is one such method which has been studied for several decades and reports high success rates during implementation. Across several pet robots designed and developed for various needs, there is a complete absence of wearable pet robots and head pose detection models in wearable pet robots. Designing a wearable pet robot capable of head pose detection can provide more opportunities for research and development of such systems. In this paper, we present a novel head pose detection system for a wearable parrot-inspired pet robot using images taken from the wearer’s shoulder. This is the first time head pose detection has been studied in wearable robots and using images from a side angle. In this study, we used AlexNet convolutional neural network architecture trained on the images from the database for the head pose detection system. The system was tested with 250 images and resulted in an accuracy of 94.4% across five head poses, namely left, left intermediate, straight, right, and right intermediate.

Keywords: head pose detection; bio inspired robot; parrot-inspired robot; wearable pet robot; deep learning

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MDPI and ACS Style

Bharatharaj, J.; Huang, L.; Mohan, R.E.; Pathmakumar, T.; Krägeloh, C.; Al-Jumaily, A. Head Pose Detection for a Wearable Parrot-Inspired Robot Based on Deep Learning. Appl. Sci. 2018, 8, 1081. https://doi.org/10.3390/app8071081

AMA Style

Bharatharaj J, Huang L, Mohan RE, Pathmakumar T, Krägeloh C, Al-Jumaily A. Head Pose Detection for a Wearable Parrot-Inspired Robot Based on Deep Learning. Applied Sciences. 2018; 8(7):1081. https://doi.org/10.3390/app8071081

Chicago/Turabian Style

Bharatharaj, Jaishankar, Loulin Huang, Rajesh Elara Mohan, Thejus Pathmakumar, Chris Krägeloh, and Ahmed Al-Jumaily. 2018. "Head Pose Detection for a Wearable Parrot-Inspired Robot Based on Deep Learning" Applied Sciences 8, no. 7: 1081. https://doi.org/10.3390/app8071081

APA Style

Bharatharaj, J., Huang, L., Mohan, R. E., Pathmakumar, T., Krägeloh, C., & Al-Jumaily, A. (2018). Head Pose Detection for a Wearable Parrot-Inspired Robot Based on Deep Learning. Applied Sciences, 8(7), 1081. https://doi.org/10.3390/app8071081

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Head Pose Detection for a Wearable Parrot-Inspired Robot Based on Deep Learning

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