Effective natural communication between human hand and mobile robot using Raspberry-pi

Prabath Chinthaka; Chinthaka Premachandra; Senaka Amarakeerthi

doi:10.1109/ICCE.2018.8326288

Effective natural communication between human hand and mobile robot using Raspberry-pi

Prabath Chinthaka, Chinthaka Premachandra, Senaka Amarakeerthi

電子工学科

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

We focus human-robot interaction (HRI) by performing natural communication between human hand and a mobile robot. The Raspberry-pi and Raspberry-pi camera module are installed on the robot. The system is capable to detect hand movement by processing the images from camera and respond according to the hand movements effectively. In addition, we set-up on-board LEDs react according each hand-movement to smoothen mutual communication between the robot and human hand. Through many experiments, we could confirm the effectiveness of the system.

本文言語	English
ホスト出版物のタイトル	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
編集者	Saraju P. Mohanty, Hai Li, Peter Corcoran, Jong-Hyouk Lee, Anirban Sengupta
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	1-3
ページ数	3
巻	2018-January
ISBN（電子版）	9781538630259
DOI	https://doi.org/10.1109/ICCE.2018.8326288
出版ステータス	Published - 2018 3 26
イベント	2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States 継続期間: 2018 1 12 → 2018 1 14

Other

Other	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
国/地域	United States
City	Las Vegas
Period	18/1/12 → 18/1/14

ASJC Scopus subject areas

コンピュータネットワークおよび通信
電子工学および電気工学
メディア記述

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10.1109/ICCE.2018.8326288

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引用スタイル

Chinthaka, P., Premachandra, C., & Amarakeerthi, S. (2018). Effective natural communication between human hand and mobile robot using Raspberry-pi. In S. P. Mohanty, H. Li, P. Corcoran, J-H. Lee, & A. Sengupta (Eds.), 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 (Vol. 2018-January, pp. 1-3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2018.8326288

Effective natural communication between human hand and mobile robot using Raspberry-pi. / Chinthaka, Prabath; Premachandra, Chinthaka; Amarakeerthi, Senaka.

2018 IEEE International Conference on Consumer Electronics, ICCE 2018. ed. / Saraju P. Mohanty; Hai Li; Peter Corcoran; Jong-Hyouk Lee; Anirban Sengupta. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-3.

研究成果: Conference contribution

Chinthaka, P, Premachandra, C & Amarakeerthi, S 2018, Effective natural communication between human hand and mobile robot using Raspberry-pi. in SP Mohanty, H Li, P Corcoran, J-H Lee & A Sengupta (eds), 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-3, 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, Las Vegas, United States, 18/1/12. https://doi.org/10.1109/ICCE.2018.8326288

Chinthaka P, Premachandra C, Amarakeerthi S. Effective natural communication between human hand and mobile robot using Raspberry-pi. In Mohanty SP, Li H, Corcoran P, Lee J-H, Sengupta A, editors, 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-3 https://doi.org/10.1109/ICCE.2018.8326288

Chinthaka, Prabath ; Premachandra, Chinthaka ; Amarakeerthi, Senaka. / Effective natural communication between human hand and mobile robot using Raspberry-pi. 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. editor / Saraju P. Mohanty ; Hai Li ; Peter Corcoran ; Jong-Hyouk Lee ; Anirban Sengupta. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-3

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abstract = "We focus human-robot interaction (HRI) by performing natural communication between human hand and a mobile robot. The Raspberry-pi and Raspberry-pi camera module are installed on the robot. The system is capable to detect hand movement by processing the images from camera and respond according to the hand movements effectively. In addition, we set-up on-board LEDs react according each hand-movement to smoothen mutual communication between the robot and human hand. Through many experiments, we could confirm the effectiveness of the system.",

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Effective natural communication between human hand and mobile robot using Raspberry-pi

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