Development of gait segmentation methods for wearable foot pressure sensors

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 5018-5021

  Crea, S ^a   De Rossi, S M M ^a   Donati, M ^a   Rebersek P ^b   Novak, D ^b   Vitiello, N ^a   Lenzi, T ^a   Podobnik, J ^b   Munih, M ^b   Carrozza, M C ^a  

^a SCUOLA SUPERIORE SANT ANNA   (Italy)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED SEGMENTATION METHOD; CALIBRATED SIGNAL; CENTER OF PRESSURE; CLASSIFICATION PERFORMANCE; COMPUTATIONAL POWER; DATA SETS; GAIT PHASIS; GROUND REACTION FORCES; HEALTHY SUBJECTS; IN-PHASE; LEAVE-ONE-OUT CROSS VALIDATIONS; MACHINE-LEARNING; ON-LINE APPLICATIONS; PLANTAR PRESSURES; SEGMENTATION METHODS; SENSOR SIGNALS; TRANSITION DETECTION; WEARABLE ELECTRONICS;

BIOMECHANICS; BIOPHYSICS; HIDDEN MARKOV MODELS; LEARNING SYSTEMS; PRESSURE SENSORS;

SIGNAL DETECTION;

EID: 84870806488     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347120     Document Type: Conference Paper

References (10)

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