@inbook{7ee018aa5914447294a6e4adc14eb243,
title = "The Impact of Feature Vector Length on Activity Recognition Accuracy on Mobile Phone",
keywords = "activity recognition, smartphone, accelerometer sensor data, machine learning algorithms.",
author = "S. Bashir and Daniel Doolan and Andrei Petrovski",
note = "M1 - 1; 2015 World Congress on Engineering, WCE 2015 ; Conference date: 01-07-2015 Through 03-07-2015",
year = "2015",
language = "English",
isbn = "978-988-19253-4-3",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "World Congress on Engineering",
pages = "332--337",
editor = "Ao, {S. I.} and Len Gelman and Korsunsky, {Alexander M.} and Ao, {S. I.} and Hukins, {David W.L.} and Andrew Hunter and Ao, {S. I.} and Len Gelman",
booktitle = "Proceedings of the World Congress on Engineering 2015",
}