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

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

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.
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. View Full-Text
Keywords: head pose detection; bio inspired robot; parrot-inspired robot; wearable pet robot; deep learning head pose detection; bio inspired robot; parrot-inspired robot; wearable pet robot; deep learning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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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.

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