Identification of cigarette smoke inhalations from wearable sensor data using a Support Vector Machine classifier

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

Volumn , Issue , 2012, Pages 4050-4053

  Lopez Meyer, Paulo ^a   Tiffany, Stephen ^b   Sazonov, Edward ^a  

^a The Aerospace Engineering and Mechanics Department   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREATHING PATTERNS; CIGARETTE SMOKES; CIGARETTE SMOKING; DATA SETS; NON-INVASIVE SENSORS; RESPIRATORY PATTERN; SENSOR SIGNALS; SMOKE INHALATION; SUPPORT VECTOR MACHINE CLASSIFICATION; WAVE FORMS; WEARABLE SENSORS;

SMOKE; SUPPORT VECTOR MACHINES;

SENSORS;

ACTIMETRY; AMBULATORY MONITORING; ARTICLE; AUTOMATED PATTERN RECOGNITION; EQUIPMENT; EQUIPMENT DESIGN; EQUIPMENT FAILURE; FEMALE; HUMAN; MALE; METHODOLOGY; PATHOPHYSIOLOGY; SIGNAL PROCESSING; SMOKING; SUPPORT VECTOR MACHINE; TELEMETRY; YOUNG ADULT; ADULT;

ACTIGRAPHY; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEMALE; HUMANS; MALE; MONITORING, AMBULATORY; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; SMOKING; SUPPORT VECTOR MACHINES; TELEMETRY; YOUNG ADULT;

MLCS; MLOWN;

EID: 84880956337     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346856     Document Type: Conference Paper

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