Accelerometer-Based Gait Analysis , A survey

From a technological perspective, biometric gait recognition can be categorized into three approaches: Machine Vision based, Floor Sensor based and Wearable Sensor based. This survey covers historical development and current state of the art in accelerometer-based gait analysis, a sub-category of wearable sensor based gait recognition. It gives an all-around literature study describing the major modules; experiments, data acquisition, data analysis and comparison of gait representations.

[1]  Patrick Bours,et al.  Eigensteps: A giant leap for gait recognition , 2010, 2010 2nd International Workshop on Security and Communication Networks (IWSCN).

[2]  Roozbeh Jafari,et al.  Human identification by gait analysis , 2008, HealthNet '08.

[3]  Tieniu Tan,et al.  Human identification based on gait , 2005, The Kluwer international series on biometrics.

[4]  Gerhard Tröster,et al.  Quantifying Gait Similarity: User Authentication and Real-World Challenge , 2009, ICB.

[5]  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..

[6]  Ju-Jang Lee,et al.  Estimation of Walking Behavior Using Accelerometers in Gait Rehabilitation , 2002 .

[7]  Se Jin Park,et al.  Foot Step Based Person Identification Using Histogram Similarity and Wavelet Decomposition , 2008, 2008 International Conference on Information Security and Assurance (isa 2008).

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

[9]  Davrondzhon Gafurov,et al.  Performance and security analysis of Gait-based user authentication , 2008 .

[10]  Patrick Bours,et al.  Improved Cycle Detection for Accelerometer Based Gait Authentication , 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[11]  Damjan Zazula,et al.  Gait identification using cumulants of accelerometer data , 2009 .

[12]  Liu Ming,et al.  Identification of Individual Walking Patterns Using Gait Acceleration , 2007, 2007 1st International Conference on Bioinformatics and Biomedical Engineering.

[13]  Martin Hynes,et al.  Off-the-shelf mobile handset environments for deploying accelerometer based gait and activity analysis algorithms , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  Mark S. Nixon,et al.  New Advances in Automatic Gait Recognition , 2002, Inf. Secur. Tech. Rep..

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

[16]  Peter K. Larsen,et al.  Gait analysis in forensic medicine , 2007, Electronic Imaging.

[17]  R. Moe-Nilssen,et al.  Test-retest reliability of trunk accelerometric gait analysis. , 2004, Gait & posture.

[18]  Liam Kilmartin,et al.  Gait patterns classification using spectral features , 2008 .

[19]  Kenichi Yamazaki,et al.  Gait analyzer based on a cell phone with a single three-axis accelerometer , 2006, Mobile HCI.

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

[21]  Yangsheng Xu,et al.  Gait Modeling for Human Identification , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[22]  Edward H. Adelson,et al.  Analyzing and recognizing walking figures in XYT , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[23]  Kjetil Holien,et al.  Gait recognition under non-standard circumstances , 2008 .

[24]  Liu Ming,et al.  A Wearable Acceleration Sensor System for Gait Recognition , 2007, 2007 2nd IEEE Conference on Industrial Electronics and Applications.

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

[26]  S. Marocco,et al.  Classification of plantar pressure and heel acceleration patterns using neural networks , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..