Standard
How Unique do we Move? Understanding the Human Body and Context Factors for User Identification. /
Abdrabou, Yasmeen; Mecke, Lukas; Rivu, Radiah et al.
Proceedings of Mensch und Computer 2023. ed. / Markus Stolze; Frieder Loch; Matthias Baldauf; Florian Alt; Christina Schneegass; Thomas Kosch; Teresa Hirzle; Shadan Sadeghian; Fiona Draxler; Kenan Bektas; Katrin Lohan; Pascal Knierim. New York: ACM, 2023. p. 127-137 (Mensch und Computer 2023).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Abdrabou, Y, Mecke, L, Rivu, R
, Prange, S, Nguyen, QD, Voigt, V, Alt, F
& Pfeuffer, K 2023,
How Unique do we Move? Understanding the Human Body and Context Factors for User Identification. in M Stolze, F Loch, M Baldauf, F Alt, C Schneegass, T Kosch, T Hirzle, S Sadeghian, F Draxler, K Bektas, K Lohan & P Knierim (eds),
Proceedings of Mensch und Computer 2023. Mensch und Computer 2023, ACM, New York, pp. 127-137, MuC '23:, Rapperswil, Switzerland,
3/09/23.
https://doi.org/10.1145/3603555.3603574
APA
Abdrabou, Y., Mecke, L., Rivu, R.
, Prange, S., Nguyen, Q. D., Voigt, V., Alt, F.
, & Pfeuffer, K. (2023).
How Unique do we Move? Understanding the Human Body and Context Factors for User Identification. In M. Stolze, F. Loch, M. Baldauf, F. Alt, C. Schneegass, T. Kosch, T. Hirzle, S. Sadeghian, F. Draxler, K. Bektas, K. Lohan, & P. Knierim (Eds.),
Proceedings of Mensch und Computer 2023 (pp. 127-137). (Mensch und Computer 2023). ACM.
https://doi.org/10.1145/3603555.3603574
Vancouver
Abdrabou Y, Mecke L, Rivu R
, Prange S, Nguyen QD, Voigt V et al.
How Unique do we Move? Understanding the Human Body and Context Factors for User Identification. In Stolze M, Loch F, Baldauf M, Alt F, Schneegass C, Kosch T, Hirzle T, Sadeghian S, Draxler F, Bektas K, Lohan K, Knierim P, editors, Proceedings of Mensch und Computer 2023. New York: ACM. 2023. p. 127-137. (Mensch und Computer 2023). doi: 10.1145/3603555.3603574
Author
Bibtex
@inproceedings{da73d8a0eb0e47ac94fc13ead823298d,
title = "How Unique do we Move?: Understanding the Human Body and Context Factors for User Identification",
abstract = "Past work showed great promise in biometric user identification and authentication through exploiting specific features of specific body parts. We investigate human motion across the whole body, to explore what parts of the body exhibit more unique movement patterns, and are more suitable to identify users in general. We collect and analyze full-body motion data across various activities (e.g., sitting, standing), handheld objects (uni- or bimanual), and tasks (e.g., watching TV or walking). Our analysis shows, e.g., that gait as a strong feature amplifies when carrying items, game activity elicits more unique behaviors than texting on a smartphone, and motion features are robust across body parts whereas posture features are more robust across tasks. Our work provides a holistic reference on how context affects human motion to identify us across a variety of factors, useful to inform researchers and practitioners of behavioral biometric systems on a large scale.",
author = "Yasmeen Abdrabou and Lukas Mecke and Radiah Rivu and Sarah Prange and Nguyen, {Quy Dat} and Vanessa Voigt and Florian Alt and Ken Pfeuffer",
year = "2023",
month = sep,
day = "3",
doi = "10.1145/3603555.3603574",
language = "English",
series = "Mensch und Computer 2023",
publisher = "ACM",
pages = "127--137",
editor = "Markus Stolze and Frieder Loch and Matthias Baldauf and Florian Alt and Christina Schneegass and Thomas Kosch and Teresa Hirzle and Shadan Sadeghian and Fiona Draxler and Kenan Bektas and Katrin Lohan and Pascal Knierim",
booktitle = "Proceedings of Mensch und Computer 2023",
note = "MuC '23: : Mensch und Computer 2023 ; Conference date: 03-09-2023 Through 06-09-2023",
}
RIS
TY - GEN
T1 - How Unique do we Move?
T2 - MuC '23:
AU - Abdrabou, Yasmeen
AU - Mecke, Lukas
AU - Rivu, Radiah
AU - Prange, Sarah
AU - Nguyen, Quy Dat
AU - Voigt, Vanessa
AU - Alt, Florian
AU - Pfeuffer, Ken
PY - 2023/9/3
Y1 - 2023/9/3
N2 - Past work showed great promise in biometric user identification and authentication through exploiting specific features of specific body parts. We investigate human motion across the whole body, to explore what parts of the body exhibit more unique movement patterns, and are more suitable to identify users in general. We collect and analyze full-body motion data across various activities (e.g., sitting, standing), handheld objects (uni- or bimanual), and tasks (e.g., watching TV or walking). Our analysis shows, e.g., that gait as a strong feature amplifies when carrying items, game activity elicits more unique behaviors than texting on a smartphone, and motion features are robust across body parts whereas posture features are more robust across tasks. Our work provides a holistic reference on how context affects human motion to identify us across a variety of factors, useful to inform researchers and practitioners of behavioral biometric systems on a large scale.
AB - Past work showed great promise in biometric user identification and authentication through exploiting specific features of specific body parts. We investigate human motion across the whole body, to explore what parts of the body exhibit more unique movement patterns, and are more suitable to identify users in general. We collect and analyze full-body motion data across various activities (e.g., sitting, standing), handheld objects (uni- or bimanual), and tasks (e.g., watching TV or walking). Our analysis shows, e.g., that gait as a strong feature amplifies when carrying items, game activity elicits more unique behaviors than texting on a smartphone, and motion features are robust across body parts whereas posture features are more robust across tasks. Our work provides a holistic reference on how context affects human motion to identify us across a variety of factors, useful to inform researchers and practitioners of behavioral biometric systems on a large scale.
U2 - 10.1145/3603555.3603574
DO - 10.1145/3603555.3603574
M3 - Conference contribution/Paper
T3 - Mensch und Computer 2023
SP - 127
EP - 137
BT - Proceedings of Mensch und Computer 2023
A2 - Stolze, Markus
A2 - Loch, Frieder
A2 - Baldauf, Matthias
A2 - Alt, Florian
A2 - Schneegass, Christina
A2 - Kosch, Thomas
A2 - Hirzle, Teresa
A2 - Sadeghian, Shadan
A2 - Draxler, Fiona
A2 - Bektas, Kenan
A2 - Lohan, Katrin
A2 - Knierim, Pascal
PB - ACM
CY - New York
Y2 - 3 September 2023 through 6 September 2023
ER -
