Classification of walking patterns using acceleration signal

Classification of Sows’ Activity Types from Acceleration Patterns using Univariate and Multivariate Models

Automatic monitoring of animal behaviour in livestock production opens up possibilities for on-line monitoring of, among others, oestrus, health disorders, and animal welfare in general. The aim of this study is to use time series of acceleration measurements in order to automatically classify activity types performed by group-housed sows. Extracts of series collected for 11 sows are associated...

Sow-activity classification from acceleration patterns: A machine learning approach

This paper describes a supervised learning approach to sow-activity classification from accelerometer measurements. In the proposed methodology, pairs of accelerometer measurements and activity types are considered as labeled instances of a usual supervised classification task. Under this scenario sow-activity classification can be approached with standard machine learning methods for pattern c...

T Ito: Walking Motion Analysis Using Small Acceleration Sensors

Human walking motion shows various information including involuntary behaviors such as walking patterns, ground conditions, health conditions, as well as conscious actions such as system control and communication. Such information can be used to establish interface with ubiquitous network systems. Therefore, human walking motion detection plays a key role for such interface. Human motion includ...

Acceleration of acoustic emission signal processing algorithms using CUDA standard

Offline processing of acoustic emission (AE) signal waveforms recorded during a long-term AE monitoring session is a challenging problem in AE testing area. This is due to the fact that today’s AE systems can work with up to hundreds of channels and are able to process tens of thousands of AE events per second. The amount of data recorded during the session is very high. This paper proposes a w...

GPU acceleration of object classification algorithms using NVIDIA CUDA