Biometric Gait Authentication Using Accelerometer Sensor

This paper presents a biometric user authentication based on a person’s gait. Unlike most previous gait recognition approaches, which are based on machine vision techniques, in our approach gait patterns are extracted from a physical device attached to the lower leg. From the output of the device accelerations in three directions: vertical, forward-backward, and sideways motion of the lower leg are obtained. A combination of these accelerations is used for authentication. Applying two different methods, histogram similarity and cycle length, equal error rates (EER) of 5% and 9% were achieved, respectively.

[1]  Larry S. Davis,et al.  Stride and cadence as a biometric in automatic person identification and verification , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[2]  Tieniu Tan,et al.  Automatic gait recognition based on statistical shape analysis , 2003, IEEE Trans. Image Process..

[3]  Thad Starner,et al.  Dual Tasks Attention, Memory, and Wearable Interfaces , 2022 .

[4]  Douglas A. Reynolds,et al.  SHEEP, GOATS, LAMBS and WOLVES A Statistical Analysis of Speaker Performance in the NIST 1998 Speaker Recognition Evaluation , 1998 .

[5]  Xinjian Chen,et al.  A Fingerprint Authentication System Based on Mobile Phone , 2005, AVBPA.

[6]  Heikki Ailisto,et al.  Unobtrusive Multimodal Biometrics for Ensuring Privacy and Information Security with Personal Devices , 2006, Pervasive.

[7]  D. Hatzinakos,et al.  Gait recognition: a challenging signal processing technology for biometric identification , 2005, IEEE Signal Processing Magazine.

[8]  Aaron F. Bobick,et al.  Gait recognition using static, activity-specific parameters , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[9]  Jaemin Han,et al.  Architecture for Implementing the Mobile Government Services in Korea , 2004, ER.

[10]  Polly Huang,et al.  Promoting wearable computing: a survey and future agenda , 2000 .

[11]  Philippe C. Cattin,et al.  Sensor fusion for a biometric system using gait , 2001, Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001 (Cat. No.01TH8590).

[12]  Xiaoli Zhou,et al.  Human Recognition at a Distance in Video by Integrating Face Profile and Gait , 2005, AVBPA.

[13]  Sudeep Sarkar,et al.  The humanID gait challenge problem: data sets, performance, and analysis , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  J. Cutting,et al.  Temporal and spatial factors in gait perception that influence gender recognition , 1978, Perception & psychophysics.

[15]  Raymond S. T. Lee,et al.  A New Representation for Human Gait Recognition: Motion Silhouettes Image (MSI) , 2006, ICB.

[16]  Key Pousttchi,et al.  Assessment of today's mobile banking applications from the view of customer requirements , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[17]  Tieniu Tan,et al.  Gait Recognition Based on Fusion of Multi-view Gait Sequences , 2006, ICB.

[18]  M. Wagner,et al.  Vulnerability of speaker verification to voice mimicking , 2004, Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004..

[19]  Aaron F. Bobick,et al.  A Multi-view Method for Gait Recognition Using Static Body Parameters , 2001, AVBPA.

[20]  G. Johansson.  Visual motion perception. , 1975, Scientific American.

[21]  Azriel Rosenfeld,et al.  Off-line skilled forgery detection using stroke and sub-stroke properties , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[22]  Rama Chellappa,et al.  Gait Analysis for Human Identification , 2003, AVBPA.

[23]  Mark S. Nixon,et al.  On automated model-based extraction and analysis of gait , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[24]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[25]  Hiroshi Murase,et al.  Moving object recognition in eigenspace representation: gait analysis and lip reading , 1996, Pattern Recognit. Lett..

[26]  Kang Ryoung Park,et al.  Iris Recognition in Wearable Computer , 2004, ICBA.

[27]  M. Pollock,et al.  Physiological responses to walking with hand weights, wrist weights, and ankle weights. , 1988, Medicine and science in sports and exercise.

[28]  Mats Blomberg,et al.  Vulnerability in speaker verification - a study of technical impostor techniques , 1999, EUROSPEECH.

[29]  Einar Snekkenes,et al.  Robustness of Biometric Gait Authentication Against Impersonation Attack , 2006, OTM Workshops.

[30]  Mark S. Nixon,et al.  Zernike Velocity Moments for Description and Recognition of Moving Shapes , 2001, BMVC.

[31]  Sung-Hyuk Cha,et al.  Automatic detection of handwriting forgery , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

[32]  Rama Chellappa,et al.  Fusion of gait and face for human identification , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[33]  Mark S. Nixon,et al.  Automatic Gait Recognition by Symmetry Analysis , 2001, AVBPA.

[34]  Karim Faez,et al.  Human Identification Based on Gait , 2008 .

[35]  Xinjian Chen,et al.  A Secured Mobile Phone Based on Embedded Fingerprint Recognition Systems , 2005, ISI.

[36]  Mark S. Nixon,et al.  Automatic extraction and description of human gait models for recognition purposes , 2003, Comput. Vis. Image Underst..

[37]  Xiaoli Zhou,et al.  Integrating Face and Gait for Human Recognition , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[38]  M. Nixon,et al.  Human gait recognition in canonical space using temporal templates , 1999 .

[39]  Larry S. Davis,et al.  EigenGait: Motion-Based Recognition of People Using Image Self-Similarity , 2001, AVBPA.

[40]  J. Cutting,et al.  Recognizing friends by their walk: Gait perception without familiarity cues , 1977 .

[41]  Heikki Ailisto,et al.  Identifying users of portable devices from gait pattern with accelerometers , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[42]  Mikko Lindholm,et al.  Identifying people from gait pattern with accelerometers , 2005, SPIE Defense + Commercial Sensing.