TY - GEN
T1 - Feature selection and activity recognition from wearable sensors
AU - Pirttikangas, Susanna
AU - Fujinami, Kaori
AU - Nakajima, Tatsuo
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - We describe our data collection and results on activity recognition with wearable, coin-sized sensor devices. The devices were attached to four different parts of the body: right thigh and wrist, left wrist and to a necklace on 13 different testees. In this experiment, data was from 17 daily life examples from male and female subjects. Features were calculated from triaxial accelerometer and heart rate data within different sized time windows. The best features were selected with forward-back ward sequential search algorithm. Interestingly, acceleration mean values from the necklace were selected as important features. Two classifiers (multilayer perceptrons and kNN classifiers) were tested for activity recognition, and the best result (90.61 % aggregate recognition rate for 4-fold cross validation) was achieved with a kNN classifier.
AB - We describe our data collection and results on activity recognition with wearable, coin-sized sensor devices. The devices were attached to four different parts of the body: right thigh and wrist, left wrist and to a necklace on 13 different testees. In this experiment, data was from 17 daily life examples from male and female subjects. Features were calculated from triaxial accelerometer and heart rate data within different sized time windows. The best features were selected with forward-back ward sequential search algorithm. Interestingly, acceleration mean values from the necklace were selected as important features. Two classifiers (multilayer perceptrons and kNN classifiers) were tested for activity recognition, and the best result (90.61 % aggregate recognition rate for 4-fold cross validation) was achieved with a kNN classifier.
UR - http://www.scopus.com/inward/record.url?scp=33750707878&partnerID=8YFLogxK
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U2 - 10.1007/11890348_39
DO - 10.1007/11890348_39
M3 - Conference contribution
AN - SCOPUS:33750707878
SN - 3540462872
SN - 9783540462873
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 516
EP - 527
BT - Ubiquitous Computing Systems - Third International Symposium, UCS 2006, Proceedings
PB - Springer Verlag
T2 - 3rd International Symposium on Ubiquitous Computing Systems, UCS 2006
Y2 - 11 October 2006 through 13 October 2006
ER -