A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices

Jae Geun Lee; Min Su Kim; Tae Min Hwang; Soon Ju Kang

doi:10.1109/ICCE.2016.7430583

A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices

Jae Geun Lee, Min Su Kim, Tae Min Hwang, Soon Ju Kang

Kyungpook National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

In this paper, a mobile robot that can detect human's location and behavior for following and leading human is proposed with the use of low frequency, radio frequency communication, various sensors and wearable devices. To know the user's location, the strength of low frequency signal is mainly used. It can also predict sudden change of human behavior by various sensors such as ultrasonic sensor, gyro sensor and acceleration sensor. Also, we can control robot and indicate direction of avoidance by gesture recognition of smart watch which is one of wearable device. A mobile robot gives us convenience for human. Furthermore, it can apply to luggage bag, shopping cart, stroller and so on.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Editors	Francisco J. Bellido, Daniel Diaz-Sanchez, Nicholas C. H. Vun, Carsten Dolar, Wing-Kuen Ling
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	209-210
Number of pages	2
ISBN (Electronic)	9781467383646
DOIs	https://doi.org/10.1109/ICCE.2016.7430583
State	Published - 10 Mar 2016
Event	IEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States Duration: 7 Jan 2016 → 11 Jan 2016

Publication series

Name	2016 IEEE International Conference on Consumer Electronics, ICCE 2016

Conference

Conference	IEEE International Conference on Consumer Electronics, ICCE 2016
Country/Territory	United States
City	Las Vegas
Period	7/01/16 → 11/01/16

Access to Document

10.1109/ICCE.2016.7430583

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Lee, J. G., Kim, M. S., Hwang, T. M., & Kang, S. J. (2016). A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices. In F. J. Bellido, D. Diaz-Sanchez, N. C. H. Vun, C. Dolar, & W.-K. Ling (Eds.), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016 (pp. 209-210). Article 7430583 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2016.7430583

Lee, Jae Geun ; Kim, Min Su ; Hwang, Tae Min et al. / A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices. 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. editor / Francisco J. Bellido ; Daniel Diaz-Sanchez ; Nicholas C. H. Vun ; Carsten Dolar ; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 209-210 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

@inproceedings{7516ab0bffa7456dad04471a0a5429d1,

title = "A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices",

abstract = "In this paper, a mobile robot that can detect human's location and behavior for following and leading human is proposed with the use of low frequency, radio frequency communication, various sensors and wearable devices. To know the user's location, the strength of low frequency signal is mainly used. It can also predict sudden change of human behavior by various sensors such as ultrasonic sensor, gyro sensor and acceleration sensor. Also, we can control robot and indicate direction of avoidance by gesture recognition of smart watch which is one of wearable device. A mobile robot gives us convenience for human. Furthermore, it can apply to luggage bag, shopping cart, stroller and so on.",

author = "Lee, {Jae Geun} and Kim, {Min Su} and Hwang, {Tae Min} and Kang, {Soon Ju}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE International Conference on Consumer Electronics, ICCE 2016 ; Conference date: 07-01-2016 Through 11-01-2016",

year = "2016",

month = mar,

day = "10",

doi = "10.1109/ICCE.2016.7430583",

language = "English",

series = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "209--210",

editor = "Bellido, {Francisco J.} and Daniel Diaz-Sanchez and Vun, {Nicholas C. H.} and Carsten Dolar and Wing-Kuen Ling",

booktitle = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",

address = "United States",

}

Lee, JG, Kim, MS, Hwang, TM & Kang, SJ 2016, A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices. in FJ Bellido, D Diaz-Sanchez, NCH Vun, C Dolar & W-K Ling (eds), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016., 7430583, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 209-210, IEEE International Conference on Consumer Electronics, ICCE 2016, Las Vegas, United States, 7/01/16. https://doi.org/10.1109/ICCE.2016.7430583

A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices. / Lee, Jae Geun; Kim, Min Su; Hwang, Tae Min et al.
2016 IEEE International Conference on Consumer Electronics, ICCE 2016. ed. / Francisco J. Bellido; Daniel Diaz-Sanchez; Nicholas C. H. Vun; Carsten Dolar; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. p. 209-210 7430583 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - In this paper, a mobile robot that can detect human's location and behavior for following and leading human is proposed with the use of low frequency, radio frequency communication, various sensors and wearable devices. To know the user's location, the strength of low frequency signal is mainly used. It can also predict sudden change of human behavior by various sensors such as ultrasonic sensor, gyro sensor and acceleration sensor. Also, we can control robot and indicate direction of avoidance by gesture recognition of smart watch which is one of wearable device. A mobile robot gives us convenience for human. Furthermore, it can apply to luggage bag, shopping cart, stroller and so on.

AB - In this paper, a mobile robot that can detect human's location and behavior for following and leading human is proposed with the use of low frequency, radio frequency communication, various sensors and wearable devices. To know the user's location, the strength of low frequency signal is mainly used. It can also predict sudden change of human behavior by various sensors such as ultrasonic sensor, gyro sensor and acceleration sensor. Also, we can control robot and indicate direction of avoidance by gesture recognition of smart watch which is one of wearable device. A mobile robot gives us convenience for human. Furthermore, it can apply to luggage bag, shopping cart, stroller and so on.

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M3 - Conference contribution

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BT - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 7 January 2016 through 11 January 2016

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Lee JG, Kim MS, Hwang TM, Kang SJ. A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices. In Bellido FJ, Diaz-Sanchez D, Vun NCH, Dolar C, Ling WK, editors, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 209-210. 7430583. (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). doi: 10.1109/ICCE.2016.7430583

A mobile robot which can follow and lead human by detecting user location and behavior with wearable devices

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