Embedded classification of the perceived fatigue state of runners: Towards a body sensor network for assessing the fatigue state during running

Proceedings - BSN 2012: 9th International Workshop on Wearable and Implantable Body Sensor Networks

Volumn , Issue , 2012, Pages 113-117

  Eskofier, Bjoern ^a   Kugler, Patrick ^a   Melzer, Daniel ^a   Kuehner, Pascal ^b  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

Author keywords

biomechanics; body sensors; embedded classification; fatigue classification; sensor network

Indexed keywords

BIOMECHANICAL DATA; CLASSIFICATION SYSTEM; EMBEDDED MICROCONTROLLER; FATIGUE LEVEL; HEART RATE VARIABILITY; HEART RATES; HUMAN BODIES; PHYSIOLOGICAL DATA; RUNNING SPEED; TRAINING PLAN;

BIOMECHANICS; HEART; SENSOR NETWORKS;

BODY SENSOR NETWORKS;

EID: 84862275864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2012.4     Document Type: Conference Paper

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