Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions

• Published in: IEEE transactions on information technology in biomedicine Vol. 12; no. 1; pp. 20 - 26
• Main Authors: Ermes, M., Parkka, J., Mantyjarvi, J., Korhonen, I.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2008
• Subjects: Accelerometers; Activities of Daily Living; Activity classification; Artificial neural networks; Bicycles; Biosensing Techniques; Classification tree analysis; Classifiers; context awareness; Cycles; Diseases; Global Positioning System; Hip; Humans; Laboratories; Legged locomotion; physical activity; Recognition; Rowing; Satellite navigation systems; Sensors; Sports; Tree data structures; Walking; Wearable sensors; wearable sensors; Activity classification; Context awareness; physical activity

Physical activity has a positive impact on people's well-being, and it may also decrease the occurrence of chronic diseases. Activity recognition with wearable sensors can provide feedback to the user about his/her lifestyle regarding physical activity and sports, and thus, promote a more activ...