University of Hertfordshire

By the same authors

Utilizing Bluetooth Low Energy to recognize proximity, touch and humans

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Utilizing Bluetooth Low Energy to recognize proximity, touch and humans. / Scheunemann, Marcus M.; Dautenhahn, Kerstin; Salem, Maha; Robins, Ben.

25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 362-367 7745156 (25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Scheunemann, MM, Dautenhahn, K, Salem, M & Robins, B 2016, Utilizing Bluetooth Low Energy to recognize proximity, touch and humans. in 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016., 7745156, 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016, Institute of Electrical and Electronics Engineers Inc., pp. 362-367, 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016, New York, United States, 26/08/16. https://doi.org/10.1109/ROMAN.2016.7745156

APA

Scheunemann, M. M., Dautenhahn, K., Salem, M., & Robins, B. (2016). Utilizing Bluetooth Low Energy to recognize proximity, touch and humans. In 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 (pp. 362-367). [7745156] (25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2016.7745156

Vancouver

Scheunemann MM, Dautenhahn K, Salem M, Robins B. Utilizing Bluetooth Low Energy to recognize proximity, touch and humans. In 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 362-367. 7745156. (25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016). https://doi.org/10.1109/ROMAN.2016.7745156

Author

Scheunemann, Marcus M. ; Dautenhahn, Kerstin ; Salem, Maha ; Robins, Ben. / Utilizing Bluetooth Low Energy to recognize proximity, touch and humans. 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 362-367 (25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016).

Bibtex

@inproceedings{eba79d3508ed4654ab52752697fa159e,
title = "Utilizing Bluetooth Low Energy to recognize proximity, touch and humans",
abstract = "Interacting with humans is one of the main challenges for mobile robots in a human inhabited environment. To enable adaptive behavior, a robot needs to recognize touch gestures and/or the proximity to interacting individuals. Moreover, a robot interacting with two or more humans usually needs to distinguish between them. However, this remains both a configuration and cost intensive task. In this paper we utilize inexpensive Bluetooth Low Energy (BLE) devices and propose an easy and configurable technique to enhance the robot's capabilities to interact with surrounding people. In a noisy laboratory setting, a mobile spherical robot is utilized in three proof-of-concept experiments of the proposed system architecture. Firstly, we enhance the robot with proximity information about the individuals in the surrounding environment. Secondly, we exploit BLE to utilize it as a touch sensor. And lastly, we use BLE to distinguish between interacting individuals. Results show that observing the raw received signal strength (RSS) between BLE devices already enhances the robot's interaction capabilities and that the provided infrastructure can be facilitated to enable adaptive behavior in the future. We show one and the same sensor system can be used to detect different types of information relevant in human-robot interaction (HRI) experiments.",
keywords = "Bluetooth, Human-Robot Interaction, Mobile Robotics, Tactile Sensors, BLE Devices, HRI experiments, received signal strength (RSS), Adaptive Behavior, system on-chip, bluetooth low energy, Proxemics",
author = "Scheunemann, {Marcus M.} and Kerstin Dautenhahn and Maha Salem and Ben Robins",
year = "2016",
month = nov,
day = "17",
doi = "10.1109/ROMAN.2016.7745156",
language = "English",
series = "25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "362--367",
booktitle = "25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016",
address = "United States",
note = "25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 ; Conference date: 26-08-2016 Through 31-08-2016",

}

RIS

TY - GEN

T1 - Utilizing Bluetooth Low Energy to recognize proximity, touch and humans

AU - Scheunemann, Marcus M.

AU - Dautenhahn, Kerstin

AU - Salem, Maha

AU - Robins, Ben

PY - 2016/11/17

Y1 - 2016/11/17

N2 - Interacting with humans is one of the main challenges for mobile robots in a human inhabited environment. To enable adaptive behavior, a robot needs to recognize touch gestures and/or the proximity to interacting individuals. Moreover, a robot interacting with two or more humans usually needs to distinguish between them. However, this remains both a configuration and cost intensive task. In this paper we utilize inexpensive Bluetooth Low Energy (BLE) devices and propose an easy and configurable technique to enhance the robot's capabilities to interact with surrounding people. In a noisy laboratory setting, a mobile spherical robot is utilized in three proof-of-concept experiments of the proposed system architecture. Firstly, we enhance the robot with proximity information about the individuals in the surrounding environment. Secondly, we exploit BLE to utilize it as a touch sensor. And lastly, we use BLE to distinguish between interacting individuals. Results show that observing the raw received signal strength (RSS) between BLE devices already enhances the robot's interaction capabilities and that the provided infrastructure can be facilitated to enable adaptive behavior in the future. We show one and the same sensor system can be used to detect different types of information relevant in human-robot interaction (HRI) experiments.

AB - Interacting with humans is one of the main challenges for mobile robots in a human inhabited environment. To enable adaptive behavior, a robot needs to recognize touch gestures and/or the proximity to interacting individuals. Moreover, a robot interacting with two or more humans usually needs to distinguish between them. However, this remains both a configuration and cost intensive task. In this paper we utilize inexpensive Bluetooth Low Energy (BLE) devices and propose an easy and configurable technique to enhance the robot's capabilities to interact with surrounding people. In a noisy laboratory setting, a mobile spherical robot is utilized in three proof-of-concept experiments of the proposed system architecture. Firstly, we enhance the robot with proximity information about the individuals in the surrounding environment. Secondly, we exploit BLE to utilize it as a touch sensor. And lastly, we use BLE to distinguish between interacting individuals. Results show that observing the raw received signal strength (RSS) between BLE devices already enhances the robot's interaction capabilities and that the provided infrastructure can be facilitated to enable adaptive behavior in the future. We show one and the same sensor system can be used to detect different types of information relevant in human-robot interaction (HRI) experiments.

KW - Bluetooth

KW - Human-Robot Interaction

KW - Mobile Robotics

KW - Tactile Sensors

KW - BLE Devices

KW - HRI experiments

KW - received signal strength (RSS)

KW - Adaptive Behavior

KW - system on-chip

KW - bluetooth low energy

KW - Proxemics

UR - http://www.scopus.com/inward/record.url?scp=85002560694&partnerID=8YFLogxK

U2 - 10.1109/ROMAN.2016.7745156

DO - 10.1109/ROMAN.2016.7745156

M3 - Conference contribution

AN - SCOPUS:85002560694

T3 - 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016

SP - 362

EP - 367

BT - 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016

Y2 - 26 August 2016 through 31 August 2016

ER -