FabricID

Voit, Alexandra; Schneegaß, Stefan

doi:10.1145/3152832.3156622

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Voit and Schneegass [25] proposed FabricID, a user authentication system based on smart textile embedded in the sleeve. They developed their own fabric that can differentiate users' hand-prints by measuring the pressure distribution, and authenticated users using the identified hand-prints.…”

Section: Alternative Authentication Using Wearablesmentioning

confidence: 99%

You Walk, We Authenticate: Lightweight Seamless Authentication Based on Gait in Wearable IoT Systems

et al. 2019

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With a plethora of wearable IoT devices available today, we can easily monitor human activities, many of which are unconscious or subconscious. Interestingly, some of these activities exhibit distinct patterns for each individual, which can provide an opportunity to extract useful features for user authentication. Among those activities, walking is one of the most rudimentary and mundane activity. Considering each individual's unique walking pattern, gait, which is the pattern of limb movements during locomotion, can be utilized as a biometric feature for user authentication. In this paper, we propose a lightweight seamless authentication framework based on gait (LiSA-G) that can authenticate and identify users on the widely available commercial smartwatches. Unlike the existing works, our proposed framework extracts not only the statistical features but also the human-action-related features from the collected sensor data in order to more accurately and efficiently reveal distinct patterns. Our experimental results show that our framework achieves a higher authentication accuracy (i.e., an average equal error rate (EER) of 8.2%) in comparison with the existing works while requiring fewer features and less amount of sensor data. This makes our framework more practical and rapidly deployable in the wearable IoT systems with limited computing power and energy capacity.

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Section: Alternative Authentication Using Wearablesmentioning

confidence: 99%

You Walk, We Authenticate: Lightweight Seamless Authentication Based on Gait in Wearable IoT Systems

et al. 2019

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“…Continuous multi-touch pressure and position input is becoming increasingly mainstream, notably finding application in synthesizer controllers [6,36,37]. Pressure based position input is also used in wearable systems, including on-body gesture input [29], user authentication [32], object recognition [35], control of IoT objects [22] or detection body deformations [23].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Pressure Matrices

Strohmeier

Håkansson

Honnet

et al. 2019

Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction

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This paper provides resources and design recommendations for optimizing position input for pressure sensor matrices, a sensor design often used in eTextiles. Currently applications using pressure matrices for precise continuous position control are rare. One reason designers opt against using these sensors for continuous position control is that when the finger transitions from one sensing electrode to the next, jerky motion, jumps or other non-linear artifacts appear. We demonstrate that interdigitation can improve transition behavior and discuss interpolation algorithms to best leverage such designs. We provide software for reproducing our sensors and experiment, as well as a dataset consisting of 1122 swipe gestures performed on 17 sensors.

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