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Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition

Mohammad Omar Derawi, Claudia Nickel, Patrick Bours, Christoph Busch
2010 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing  
To be more specific, the used mobile device is the Google G1 phone containing the AK8976A embedded accelerometer sensor [1].  ...  Unlike previous work on gait recognition, which was based on the use of video sources, floor sensors or dedicated high-grade accelerometers, this paper reports the performance when the data is collected  ...  In contrast to this, we will describe in this paper the results on gait recognition when using data collected from a commonly available commercial mobile phone containing low-grade accelerometers.  ... 
doi:10.1109/iihmsp.2010.83 dblp:conf/iih-msp/DerawiNBB10 fatcat:pqpzit5c55ak7brhbic6ojy3za

Eigensteps: A giant leap for gait recognition

Patrick Bours, Raju Shrestha
2010 2010 2nd International Workshop on Security and Communication Networks (IWSCN)  
This tremendous increase makes gait recognition a viable method in commercial applications in the near future.  ...  On a dataset of 720 gait samples (60 volunteers and 12 gait samples per volunteer) we achieved an EER of 1.6% while the best result so far, using the Average Cycle Method (ACM), gave a result of nearly  ...  Finally we would also kindly like to thank Motion Recording for allowing us to use their hardware and download software.  ... 
doi:10.1109/iwscn.2010.5497991 fatcat:7amb7upc6bazxmvoftib56fzyq

Health sensing by wearable sensors and mobile phones: A survey

Lei Song, Yongcai Wang, Ji-Jiang Yang, Jianqiang Li
2014 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)  
It classify related works by their application goals, including i) fall detection, ii) gait analyzing, iii) activity qualification, iv) heart state sensing, and v) sleep sensing.  ...  mobile phones.  ...  An gait recognition algorithm is presented in [35] , which is built on top of existing smart phone.  ... 
doi:10.1109/healthcom.2014.7001885 dblp:conf/healthcom/SongWYL14 fatcat:yaf6xuig3jhpba2kipoelbxj5i


Qian Cheng, Joshua Juen, Yanen Li, Valentin Prieto-Centurion, Jerry A. Krishnan, Bruce R. Schatz
2007 Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics - BCB'13  
We design GaitTrack, a free living health monitor which runs on Android smart phones and integrates known activity recognition and position adjustment technology.  ...  This phone app can be used to validate status of the major chronic condition, Chronic Obstructive Pulmonary Disease (COPD), by estimating gait speed of actual patients.  ...  ACKNOWLEDGEMENTS All patient data collected from six-minute walk tests and gait monitoring phone sensors are protected under the University of Illinois at Chicago IRB approved protocol # 2011-0625, as  ... 
doi:10.1145/2506583.2512362 dblp:conf/bcb/ChengJLPKS13 fatcat:mlkxlu7vq5b3jech6ak5dhie3q

Health Monitors for Chronic Disease by Gait Analysis with Mobile Phones

Joshua Juen, Qian Cheng, Valentin Prieto-Centurion, Jerry A. Krishnan, Bruce Schatz
2014 Telemedicine journal and e-health  
Our software transforms smartphones into health monitors, using eight parameters of phone motion transformed into body motion by the gait model.  ...  GaitTrack software monitors walking patterns, using only accelerometers embedded in phones to record spatiotemporal motion, without the need for sensors external to the phone.  ...  Activity recognition via phone sensors has been studied with small numbers of healthy subjects, with reliable methods to classify different types of movements. 33, 34 Eliminating non-walking activity  ... 
doi:10.1089/tmj.2014.0025 pmid:24694291 pmcid:PMC4229704 fatcat:3twjdqtqsfgixjlfmmxn7qf3xq

Fusion of gait and fingerprint for user authentication on mobile devices

Mohammad O. Derawi, Davrondzhon Gafurov, Rasmus Larsen, Christoph Busch, Patrick Bours
2010 2010 2nd International Workshop on Security and Communication Networks (IWSCN)  
The proposed method is evaluated using 7200 fingerprint images and gait samples.  ...  And by applying the described commercial fingerprint scanners and dedicated gait sensors, the fusion results of these two biometrics shows an improved performance and a large step closer for user authentication  ...  Using wearable sensors in gait recognition is a quite new field and therefore a lot of further research would be needed.  ... 
doi:10.1109/iwscn.2010.5497989 fatcat:qxc63627mjdt3e36ngq6wurhse

Using Hidden Markov Models for accelerometer-based biometric gait recognition

Claudia Nickel, Christoph Busch, Sathyanarayanan Rangarajan, Manuel Mobius
2011 2011 IEEE 7th International Colloquium on Signal Processing and its Applications  
Testing this method with accelerometer data of 48 subjects recorded using a commercial of the shelve mobile phone a false non match rate (FNMR) of 10.42% at a false match rate (FMR) of 10.29% was obtained  ...  Biometric gait recognition based on accelerometer data is still a new field of research.  ...  Accelerometer-based gait recognition is such a method. Accelerometers are commonly integrated into many mobile phones and can be used to record the gait of the user.  ... 
doi:10.1109/cspa.2011.5759842 fatcat:achq6qtzr5fmxkwd5qzzrctu64


Mohammad Tamviruzzaman, Sheikh Iqbal Ahamed, Chowdhury Sharif Hasan, Casey O'brien
2009 Proceedings of the 2nd ACM workshop on Assurable and usable security configuration - SafeConfig '09  
In this paper an adaptive solution to secure the authentication process of cellular phones has been proposed. Gait and location tracks of the owner are used as the metrics for authentication.  ...  A fast and memory efficient variation of Dynamic Time Warping (DTW) algorithm called FastDTW has been used to compute the similarity score between gait samples.  ...  Physiological attributes include fingerprint and iris recognition [18] , voice pattern, face and hand geometry [19] , etc. and behavioral attributes include, file system and network activity [16] ,  ... 
doi:10.1145/1655062.1655066 dblp:conf/safeconfig/TanviruzzamanAHO09 fatcat:zv7cj73qrzevdb4upei5o3hvmu

Toward an Immunity-based Gait Recognition on Smart Phone: A Study of Feature Selection and Walking State Classification

Yuji Watanabe, San Sara
2016 Procedia Computer Science  
Toward an immunity-based gait recognition to integrate the identification results from multiple smart phone sensors, in our previous study, we collected gait data using an iOS application when some subjects  ...  Using the application, we collect gait data for 15 subjects in 5 walking states adding to going upstairs and downstairs.  ...  Here note that all the accuracies of gait recognition are too far from those of commercial products such as fingerprint authentication which have approximately 99.99% and 99.999% accuracy.  ... 
doi:10.1016/j.procs.2016.08.228 fatcat:36jemdhp3nb5hao7jwnihvrlqe

Biometrics on mobile phone [chapter]

Shuo Wang, Jing Liu
2011 Recent Application in Biometrics  
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  ...  Currently 3 major approaches have been developed for gait recognition referred to as the Machine Vision (MV) based gait recognition, in which case the walking behavior is captured on video and video processing  ...  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

Smartphone and Smartwatch-Based Biometrics using Activities of Daily Living

Gary M. Weiss, Kenichi Yoneda, Thaier Hayajneh
2019 IEEE Access  
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.  ...  However, the few studies that utilize these commercial devices for motion-based biometrics are quite limited in terms of the sensors and physical activities that they evaluate.  ...  GAIT BIOMETRICS USING SMARTPHONES AND/OR SMARTWATCHES This section covers research on gait biometrics using commercial smartphones and smartwatches.  ... 
doi:10.1109/access.2019.2940729 fatcat:xjtaao4a2zablo2kkxv2z6rpby

Gait recognition using acceleration from MEMS

D. Gafurov, K. Helkala, T. Soendrol
2006 First International Conference on Availability, Reliability and Security (ARES'06)  
Similarly, to be able to activate a mobile phone the owner has to know its PIN code, etc.  ...  The nature of the contributions is not on developing novel algorithms, but rather on enhancing existing approaches in gait-based recognition using small and wearable sensors, and developing new knowledge  ...  Acknowledgments The research resulting in the present thesis has been carried out at Norwegian Information Security Lab (NISLab), Department of Computer Science and Media Technology, Acknowledgments  ... 
doi:10.1109/ares.2006.68 dblp:conf/IEEEares/GafurovHS06 fatcat:fka75wp6hfdmjhsq5wsqmuzom4

A smart phone based gait monitor system

Dong Qin, Ming-Chun Huang
2015 Proceedings of the 10th EAI International Conference on Body Area Networks  
Gait analysis is the study of human locomotion and is able to provide useful information in various areas such as health care, therapy, sports training, and characteristic recognition.  ...  The proposed system collects accelerometer data from a smart-phone and calculates the gait parameters related to walking activity.  ...  The accuracy of the system has been verified by the experiments, and these gait parameters can be used to describe human activity.  ... 
doi:10.4108/eai.28-9-2015.2261519 dblp:conf/bodynets/QinH15 fatcat:cfo2gvoeljdotmdgfyjhuqkcji

Cell phone-based biometric identification

Jennifer R. Kwapisz, Gary M. Weiss, Samuel A. Moore
2010 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
In this paper we describe and evaluate a system that uses phone-based acceleration sensors, called accelerometers, to identify and authenticate cell phone users.  ...  To implement our system we collected accelerometer data from thirty-six users as they performed normal daily activities such as walking, jogging, and climbing stairs, aggregated this time series data into  ...  just walking) using only commercially available smart phones, which are carried in the user's pocket.  ... 
doi:10.1109/btas.2010.5634532 dblp:conf/btas/KwapiszWM10 fatcat:xmwxuljo2fastnmrth743eryii

Smartwatch-based biometric gait recognition

Andrew H. Johnston, Gary M. Weiss
2015 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
In this paper we show the feasibility of using smartwatches for gait-based biometrics by demonstrating the high levels of accuracy that can result from smartwatch-based identification and authentication  ...  Like their smartphone counterparts, these mobile devices can perform gait-based biometric identification because they too contain an accelerometer and a gyroscope.  ...  Acknowledgements The authors would like to thank Anthony Canicatti, Alexander Despotakis, Susanne George, Florian Shabanaj, and Cameron Walker for their assistance with this work, as well as the many test  ... 
doi:10.1109/btas.2015.7358794 dblp:conf/btas/JohnstonW15 fatcat:hzuh6chizfdc7obhjtwtrgofsa
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