Accelerometer-based gait recognition via voting by signature points

Electronics Letters

Volumn 45, Issue 22, 2009, Pages 1116-1118

  Pan, G ^a   Zhang, Y ^a   Wu, Z ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELERATION SIGNALS; BIOMETRIC MEASUREMENTS; DATA SETS; EXISTING METHOD; GAIT PATTERN; GAIT RECOGNITION; HUMAN GAIT; HUMAN IDENTITY; LIGHTING CONDITIONS; NON-INTRUSIVE; NOVEL ALGORITHM; POINT-BASED; RECOGNITION RATES; VOTING SCHEMES;

ALGORITHMS; BIOMETRICS; GAIT ANALYSIS;

ACCELEROMETERS;

EID: 70350501836     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2009.2301     Document Type: Article

References (5)

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2. Mantyjarvi, J., Lindholm, M., Vildjiounaite, E., Makela, S., Ailisto, H., Electron, V., and Oulu, F.: ' Identifying users of portable devices from gait pattern with accelerometers ', IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP'05), 2005, 2
3. Gafurov, D., Snekkenes, E., and Bours, P.: ' Gait authentication and identification using wearable accelerometer sensor ', IEEE Workshop on Automatic Identification Advanced Technologies, 2007, p. 220-225
4. Liu, R., Zhou, J., Liu, M., and Hou, X.: ' A wearable acceleration sensor system for gait recognition ', IEEE Conf. on Industrial Electronics and Applications, 2007, p. 2654-2659
5. Lowe, D.: ' Object recognition from local scale-invariant features ', IEEE Int. Conf. on Computer Vision (ICCV'99), 1999, 2