Activity Recognition from Binary Data

被引：0

作者：

Auber, R. ^{[1
]}

Pouliquen, M. ^{[1
]}

Pigeon, E. ^{[1
]}

Chapon, P. A. ^{[2
]}

Moussay, S. ^{[2
]}

机构：

[1] Normandie Univ, UNICAEN, ENSICAEN, LAC,EA 7478, 6 Blvd Marechal Juin, F-14032 Caen, France

[2] BodyCap, 2 Rue Dr Laennec, F-14200 Herouville St Clair, France

来源：

2018 UKACC 12TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL) | 2018年

关键词：

Binary data; Auto-Regressive model; Activity recognition; Support Vector Machine;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an algorithm for the activity recognition from binarized accelerometric data is presented. The particularity of the proposed algorithm is the use of binary data, this constraint on data is justified by the fact that using binary data allows to save battery and memory on the connected device. The objective of the present study is to show that it is possible to perform activity recognition from these binary data. The proposed algorithm uses Auto Regressive (AR) modeling and classification using Support Vector Machine (SVM). Some results on a real-data experiment is presented for the recognition of three activity.

引用

页码：158 / 162

页数：5

共 17 条

[1]

[Anonymous], 1899, Philosophical Transactions of the Royal Society of London, Series A

[2]

[Anonymous], 2000, An Introduction to support vector machines and other kernel-based learning methods

[3] Sensor Positioning for Activity Recognition Using Wearable Accelerometers [J].

Atallah, Louis ;

Lo, Benny ;

King, Rachel ;

Yang, Guang-Zhong .

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2011, 5 (04) :320-329

[4] Physical Human Activity Recognition Using Wearable Sensors [J].

Attal, Ferhat ;

Mohammed, Samer ;

Dedabrishvili, Mariam ;

Chamroukhi, Faicel ;

Oukhellou, Latifa ;

Amirat, Yacine .

SENSORS, 2015, 15 (12) :31314-31338

[5] Clustering time series with clipped data [J].

Bagnall, A ;

Janacek, G .

MACHINE LEARNING, 2005, 58 (2-3) :151-178

[6] Activity recognition from user-annotated acceleration data [J].

Bao, L ;

Intille, SS .

PERVASIVE COMPUTING, PROCEEDINGS, 2004, 3001 :1-17

[7] Optimal Placement of Accelerometers for the Detection of Everyday Activities [J].

Cleland, Ian ;

Kikhia, Basel ;

Nugent, Chris ;

Boytsov, Andrey ;

Hallberg, Josef ;

Synnes, Kare ;

McClean, Sally ;

Finlay, Dewar .

SENSORS, 2013, 13 (07) :9183-9200

[8]

David F. N., 1987, IEEE T J MAGN JAPAN, V2, P740

[9]

Figo D., 1953, BIOMETRIKA, V40, P458

[10]

He Zhen-Yu, 2008, INT C MACH LEARN CYB, V4

← 1 2 →