How Unique do we Move? Understanding the Human Body and Context Factors for User Identification

Abdrabou, Yasmeen ; Mecke, Lukas ; Rivu, Radiah ; Prange, Sarah ; Nguyen, Quy Dat ; Voigt, Vanessa ; Alt, Florian und Pfeuffer, Ken (2023): How Unique do we Move? Understanding the Human Body and Context Factors for User Identification. Conference on Mensch und Computer (MuC) - Building Bridges, Rapperswil, Switzerland, 03. - 06. September 2023. Stolze, Markus (Hrsg.): In: Proceedings of Mensch und Computer 2023, New York: Association for Computing Machinery. S. 127-137

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.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Mathematik, Informatik und Statistik > Informatik
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
• ISBN: 979-8-4007-0771-1
• Ort: New York
• Sprache: Englisch