A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Smartphone and Smartwatch-Based Biometrics using Activities of Daily Living
2019
IEEE Access
Preserved Fulltext
Smartphones and smartwatches, which include powerful sensors, provide a readily available platform for implementing and deploying mobile motion-based behavioral biometrics. ...
The results presented in this article show that motion-based biometrics using smartphones and/or smartwatches yield good results, and that these results hold for the eighteen activities. ...
based on activities of daily living. ...
doi:10.1109/access.2019.2940729
fatcat:xjtaao4a2zablo2kkxv2z6rpby
Performance Evaluation of Mobile Sensor for Context Awareness User Authentication
2022
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The mobile data used includes gyroscope, accelerometer, linear accelerometer, proximity, gravity, and magnetometer sensor data. A feedforward neural network was used for data classification. ...
After extracting features from the different sensors available in the mobile device, the most effective sensor was selected by evaluating performance of the different sensors. ...
Using biometrics like fingerprint, facial and voice print are common methods for mobile device authentication [9] . ...
doi:10.5281/zenodo.6763156
fatcat:vsg7ertrkfekfc2pefmthba4ji
A survey on behavioral biometric authentication on smartphones
2017
Journal of Information Security and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2018 pre-print arXiv:1801.09308v1 fatcat:vhvbhvmrx5hr5dnk3ftan7ypta
The authentication systems that have been built based on these behavioral biometric traits are known as active or continuous authentication systems. ...
We present the components and the operating process of the active authentication systems in general, followed by an overview of the state-of-the-art behavioral biometric traits that used to develop an ...
In the dynamic mode, a subject's identity is continuously verified throughout the active session of a mobile device. • Metrics: Equal Error Rate (EER) is the most common used metric in the literature to ...
doi:10.1016/j.jisa.2017.10.002
fatcat:tuhwquiijrhyzf6xasqfmmy3rm
MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper we evaluate mobile active authentication based on an ensemble of biometrics and behavior-based profiling signals. We consider seven different data channels and their combination. ...
This database comprises smartphone sensor signals acquired during natural human-mobile interaction. ...
Behavioral-based profiling refers to those systems that model the owners of the device according to the services they use during their daily habits (orange box in Figure 1 , bottom 3 channels in the Sensors ...
arXiv:1901.10312v1
fatcat:xz4x4xep45gstainrl7m7wb36m
Digital Phenotyping and Patient-Generated Health Data for Outcome Measurement in Surgical Care: A Scoping Review
2020
Journal of Personalized Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Most of the work involved research-grade wearables (n = 130, 58%), prioritizing the capture of activity (n = 165, 74%) and biometric data (n = 100, 45%), with a view to providing a tracking/monitoring ...
Digital phenotyping—the moment-by-moment quantification of human phenotypes in situ using data related to activity, behavior, and communications, from personal digital devices, such as smart phones and ...
Smartphones and wearable sensors have been used to capture an array of activity/mobility, biometric, and communication-related data. ...
doi:10.3390/jpm10040282
pmid:33333915
fatcat:2lf36olmbnhw5oe2zq5ihjqn3e
A generic conceptual model linking wellness, health lifestyles, and user assistance
2011
2011 IEEE 13th International Conference on e-Health Networking, Applications and Services
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Because these factors manifest themselves in the form of detectable biometric fluctuations, they can be tracked using inexpensive biometric sensors embedded on smart phones. ...
, wellness state recognition, and timely user assistance for a healthier lifestyle based on the multi-modality evidences. ...
These inhibitors manifest themselves in ways that can be detected using biometric sensors. ...
doi:10.1109/health.2011.6026762
fatcat:xigi4luxfreg7deseqv57pdd3a
Biometric Authentication Methods on Smartphones: A Survey
2016
PsychNology Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Users continuously carry these devices and use them for daily communication activities and social network interactions. ...
We categorize such methods by the nature of biometrics used, by their temporal features and by the sensing capabilities they rely on. ...
Introduction In recent years, lots of researchers put their effort in understanding users' behavior using mobile devices. Smartphones have become daily used personal devices. ...
dblp:journals/psychnology/SpolaorLMCGS16
fatcat:rxpkbzgcfrfjff5ydndkazy4ky
An Introduction to Foot Planter Pressure Measurement System
2021
International Journal for Research in Applied Science and Engineering Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Foot planter pressure is the area that is between the foot and the surface during daily life activities and other activities. ...
This system is not only for the patients of foot problems but also used in sports and our daily life. Future applications of the planter pressure to improve in design and more comfortable. ...
For this system to be mobile and wearable for observing the activities of daily life, the system should be wireless and low power consumption. ...
doi:10.22214/ijraset.2021.36988
fatcat:pm3lbt7mivaj7dqfae6m24w7se
Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We evaluate a biometric authentication system based on simple linear touch gestures using a Siamese Neural Network architecture. ...
Then, we perform the experimental work using the HuMIdb database (Human Mobile Interaction database), a novel multimodal mobile database that includes 14 mobile sensors captured from 600 participants. ...
Accelerometer has been also studied to measure the daily physical activities with the main goal of changing people's sedentary lifestyle [17] . ...
arXiv:2006.00790v1
fatcat:3c276eyoffcj3keajywovrzr5y
MPIGate: A Solution to Use Heterogeneous Networks for Assisted Living Applications
2012
2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Existing sensors and actuators, that can be used in an AAL (ambient assisting living) environment, work on heterogeneous network protocols, e.g., WiFi, Bluetooth, EIB/KNX and Zigbee. ...
However, integrating sensors/actuators of heterogeneous network protocols into an AAL system arises interoperability problems. ...
Biometric sensors are based on a variety of communication support. ...
doi:10.1109/uic-atc.2012.84
dblp:conf/uic/Cruz-SanchezHCS12
fatcat:u6hzras53zdh5jbjfmy3ugozem
Real-time Recognition of Smartphone User Behavior Based on Prophet Algorithms
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The existing behavioral data collected based on mobile phone sensors is mainly used for human activity recognition and fall detection and health management. ...
Based on the time series behavior data of mobile terminal users, this paper uses Prophet algorithm to decompose the time series of six kinds of daily behavior and strip off the singular value, to get the ...
Some scholars have proposed a behavior recognition model based on mobile acceleration sensor [12] [13] [14] . ...
arXiv:1909.08997v1
fatcat:lwxxjq3ayneklifzadcopbav7m
Hybrid-Aware Model for Senior Wellness Service in Smart Home
2017
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
of stay in each location using environmental sensors; (3) monitoring senior activity using biometric data; finally, (4) expectation-maximization based decision-making step recommending proper treatment ...
For monitoring senior activity in smart home, wearable, and motion sensors-such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)-were used for monitoring movements ...
For brainwave detection, Neurosky mindwave mobile was used as Figure 4b . ...
doi:10.3390/s17051182
pmid:28531157
pmcid:PMC5470927
fatcat:wsohmfrmynhk7hx6hd5v7mtbhy
Biometrics on mobile phone
[chapter]
2011
Recent Application in Biometrics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
techniques are used for analysis, the Floor Sensor (FS) based gait recognition by placing sensors in the floor that can measure force and using this information for analysis and Wearable Sensor (WS) based ...
Mobile phone based biometrics uses the acceleration signal characteristics produced by walking for verifying the identity of the users of a mobile phone while they walk with it. ...
Moreover, the biometric technology is being used in novel ways, with potential commercial and practical implications to our daily activities. ...
doi:10.5772/17151
fatcat:lyo3l55xujctplyrdv6w6uzd7y
Analytics of biometric data from wearable devices to support teaching and learning activities
2016
Journal of Information Systems Engineering & Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The innovation point is the use of data collected from wearables, that will be used in conjunction with data collected from other sources (e.g. ...
The paper reviews the results achieved during the last year about the relationships among biometric data collected from wearables and relevant features described in the educational literature. ...
These technologies can be found to a large extend in many of the commercial and industrial activities, event in the daily activities of the common people (whether funny, educational or workrelated), mainly ...
doi:10.20897/lectito.201608
fatcat:6s6hpuv5i5bbfpldb3u6rpksfa
Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatch
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Recent studies have shown how motion-based biometrics can be used as a form of user authentication and identification without requiring any human cooperation. ...
This work proposes an algorithm to blend behavioural biometrics with multi-factor authentication (MFA) by introducing a two-step user verification algorithm that verifies the user's identity using motion-based ...
Popular mobile devices, such as smartphones and smartwatches, feature motion sensors that can be used as the foundation of a biometric system, making motion-based biometrics an especially appealing option ...
arXiv:2110.03149v1
fatcat:43njkb25cze3vdsjjcv5b7myga
« Previous
Showing results 1 — 15 out of 4,966 results