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Wavelet analysis to detect regime shifts in animal movement

C. Gaucherel
2011 Computational Ecology and Software  
The first step was to work on simulated movements to define the confidence levels of detection. The second was to illustrate the use of wavelet analysis on the movements of wandering albatrosses.  ...  I proposed analyzing movement data over temporal and spatial scales by the use of the wavelet analysis and drew inferences about the behaviours that shape movements.  ...  Movement wavelet analysis Recent work has highlighted the ability of wavelet analysis to help detect non-stationary statistical properties of animal movement (Wittemyer et al., 2008) , but this method  ... 
doaj:b2351eb266c24ee4a1ac05608d238000 fatcat:ecz6qd72sndvtp4uhiqw4vjqv4

Implementation of wavelets and artificial neural networks to detection of toxic response behavior of chironomids (Chironomidae: Diptera) for water quality monitoring

Cheol-Ki Kim, Inn-Sil Kwak, Eui-Young Cha, Tae-Soo Chon
2006 Ecological Modelling  
The trained network efficiently detected changes in movement patterns before and after the treatments.  ...  Two typical movement patterns were selected before and after the treatments, and the variables characterizing movement tracks in two dimensions were analyzed by discrete wavelet transform (DWT) with Daubechie's  ...  We proposed a combined use of wavelets and ANNs as an efficient tool for objectively and automatically detecting changes in response behaviors of animals.  ... 
doi:10.1016/j.ecolmodel.2005.11.010 fatcat:vycsyvg5jbfqdj26ckisfrk7ni

Predicting sleep and lying time of calves with a support vector machine classifier using accelerometer data

Ann-Helena Hokkanen, Laura Hänninen, Johannes Tiusanen, Matti Pastell
2011 Applied Animal Behaviour Science  
Changes in sleeping and lying time can give an indication of changes in animals' health and welfare status.  ...  We collected data from 6 dairy calves developed a model based on wavelet analysis with Support Vector Machine Classifier for measuring sleep and lying time in calves.  ...  This is potentially useful data for automatically detecting health problems and studying different production systems.  ... 
doi:10.1016/j.applanim.2011.06.016 fatcat:e2wk3ue55zesxbv4rbtanshnfa

Can Ethograms Be Automatically Generated Using Body Acceleration Data from Free-Ranging Birds?

Kentaro Q. Sakamoto, Katsufumi Sato, Mayumi Ishizuka, Yutaka Watanuki, Akinori Takahashi, Francis Daunt, Sarah Wanless, Martine Hausberger
2009 PLoS ONE  
Then, each second of the spectrum was categorized into one of 20 behavior groups by unsupervised cluster analysis, using k-means methods.  ...  An ethogram is a catalogue of discrete behaviors typically employed by a species. Traditionally animal behavior has been recorded by observing study individuals directly.  ...  The oscillation of acceleration signals derived from animal movement usually changes in periodicity and intensity.  ... 
doi:10.1371/journal.pone.0005379 pmid:19404389 pmcid:PMC2671159 fatcat:dqcf5ciwv5eevhc33ovhij4l6a


Yan Wang, Xiao Yu, Yang Zhang, Hao Lv, Teng Jiao, Guohua Lu, Wen Zhe Li, Zhao Li, Xijing Jing, Jianqi Wang
2013 Electromagnetic Waves  
When using ultra-wide band (UWB) radar to detect targets in various conditions, identifying whether the target buried under building debris or in bad visibility conditions is a human or an animal is crucial  ...  This paper presents the application of the wavelet entropy (WE) method to distinguish between humans and animal targets through brick wall and in free space at a certain distance.  ...  These studies aim to estimate laboratory animals' movement activities through a noncontact monitoring system, but not in detection applications.  ... 
doi:10.2528/pier13032508 fatcat:llucrhp55vhqjae36c2k6vrv6i

Modelling Animal Activity as Curves: An Approach Using Wavelet-Based Functional Data Analysis

Barbara Henning, Airton Kist, Alusio Pinheiro, Rafael L. Camargo, Thiago M. Batista, Everardo M. Carneiro, Sérgio F. dos Reis
2017 Open Journal of Statistics  
We also performed numerical analysis that shed light on the regularity properties of the wavelet bases used and the thresholding parameters.  ...  Temporal activity patterns in animals emerge from complex interactions between choices made by organisms as responses to biotic interactions and challenges posed by external factors.  ...  Temporal activity pattern is marked with punctuations in the movement (pauses and changes in speed), temporally autocorrelated, and localized in nature [3] [9] [10] .  ... 
doi:10.4236/ojs.2017.72016 fatcat:fhfgo3a5sfa6hotaloo3h7xrcu

From moonlight to movement and synchronized randomness: Fourier and wavelet analyses of animal location time series data

Leo Polansky, George Wittemyer, Paul C. Cross, Craig J. Tambling, Wayne M. Getz
2010 Ecology  
Simulation studies show that the spectral signature given by these methods provides a useful approach for statistically detecting and characterizing temporal dependency in animal movement data.  ...  We propose that frequency and timefrequency domain methods, embodied by Fourier and wavelet transforms, can serve as useful probes in early investigations of animal movement data, stimulating new ecological  ...  ACKNOWLEDGMENTS We thank several anonymous reviewers for helpful comments on early stages of this manuscript, and Douglas Maraun for helpful comments and software on the use of wavelets.  ... 
doi:10.1890/08-2159.1 pmid:20503882 pmcid:PMC3032889 fatcat:m4zipcguqnauhcxd6dwpf5v5ry

Target Detection and Classification Using Seismic and PIR Sensors

Xin Jin, Soumalya Sarkar, Asok Ray, Shalabh Gupta, Thyagaraju Damarla
2012 IEEE Sensors Journal  
In this regard, this paper presents a wavelet-based method for target detection and classification.  ...  Unattended ground sensors (UGS) are widely used to monitor human activities, such as pedestrian motion and detection of intruders in a secure region.  ...  Performance Assessment Using PIR Data PIR sensors are widely used for motion detection. In most applications, the signals from PIR sensors are used as discrete variables (i.e., on or off).  ... 
doi:10.1109/jsen.2011.2177257 fatcat:dh4q3tauf5ht3asev47hc2pyym

Practical Design and Implementation of Animal Movements Tracking System for Neuroscience Trials [article]

Majid Memarian Sorkhabi
2020 bioRxiv   pre-print
The nervous system functions of an animal are predominantly reflected in the behaviour and the movement, therefore the movement-related data and measuring behavior quantitatively are crucial for behavioural  ...  For this aim, a novel animal cage is designed and implemented to track the animal movement.  ...  Animal rights All procedures performed in studies involving animals were in accordance with the ethical standards of the institutional and/or national research committee.  ... 
doi:10.1101/2020.07.26.221754 fatcat:5vyixlowvvepnc7ivk5hehyqmi

Identification of a self-paced hitting task in freely moving rats based on adaptive spike detection from multi-unit M1 cortical signals

Sofyan H. H. Hammad, Dario Farina, Ernest N. Kamavuako, Winnie Jensen
2013 Frontiers in Neuroengineering  
Action potentials were then detected using an adaptive threshold, counted in three consecutive time intervals and were used as features to classify either a "hit" or a "no-hit" (defined as an interval  ...  Our objective was to investigate if a specific motor task could reliably be detected from multi-unit intra-cortical signals from freely moving animals.  ...  ACKNOWLEDGMENTS We wish to thank the technical staff of the biomedical laboratory at Aalborg Hospital for assistance during the animal experiments and Jens Rafaelsen at the Department of Physics and Nanotechnology  ... 
doi:10.3389/fneng.2013.00011 pmid:24298254 pmcid:PMC3828672 fatcat:p3k5uwnjtzejjppev6ocq6qxpa

Design of a Video Summarization Scheme in the Wavelet Domain Using Statistical Feature Extraction

J. Kavitha, P. Arockia Jansi Rani
2015 International Journal of Image Graphics and Signal Processing  
The proposed work effectively detects even the movement of small water bodies such as crabs which is not detected using the existing methods.  ...  Then, the video frames are transformed into wavelet subbands and the standard deviation between two consecutive frames is computed. Pixels of interest in frames are identified using threshold values.  ...  Fig. 1 . 1 Discrete Wavelet Transform I.J.  ... 
doi:10.5815/ijigsp.2015.04.07 fatcat:zcp4t6jv3rhcjau7ds2lwsp7le


M.Anto Bennet, J. Narmatha, B. Pavithra, P. Suvetha, A. Sandhyalakshmi
2017 International Journal on Smart Sensing and Intelligent Systems  
Next, singular value decomposition is used to de-noise in the life signals.  ...  In this paper, advanced signal-processing approaches are used to identify and to extract human vital signs in complex environments.  ...  Discrete Wavelet Transform In numerical analysis and functional analysis, a discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled.  ... 
doi:10.21307/ijssis-2017-249 fatcat:wonra5kovbhrzjuuepk5ex7btq

Developing and Integrating Advanced Movement Features Improves Automated Classification of Ciliate Species

Ali Soleymani, Frank Pennekamp, Owen L. Petchey, Robert Weibel, Jesus Malo
2015 PLoS ONE  
Here, we demonstrate that adding advanced movement features, in particular such based on discrete wavelet transform, to morphological features can improve classification.  ...  Recent advances in tracking technologies such as GPS or video tracking systems describe the movement paths of individuals in unprecedented details and are increasingly used in different fields, including  ...  In this study, we use approximate entropy and discrete wavelet transform to provide additional features.  ... 
doi:10.1371/journal.pone.0145345 pmid:26680591 pmcid:PMC4682988 fatcat:hwnfdoeuovadhb7unvwxf4crkm

Rapid eye movements during sleep in mice: High trait-like stability qualifies rapid eye movement density for characterization of phenotypic variation in sleep patterns of rodents

Stephany Fulda, Christoph PN Romanowski, Andreas Becker, Thomas C Wetter, Mayumi Kimura, Thomas Fenzel
2011 BMC Neuroscience  
Subsequent to the implantation process, we developed and validated an Eye Movement scoring in Mice Algorithm (EMMA) to detect REM as singularities of the EOG signal, based on wavelet methodology.  ...  In basic animal research, almost no tools are available to obtain and systematically evaluate eye movement data, although, this would create increased comparability between human and animal sleep studies  ...  filter that used discrete dyadic wavelet transform with Mallat's wavelet and with 8 decomposition scales.  ... 
doi:10.1186/1471-2202-12-110 pmid:22047102 pmcid:PMC3228710 fatcat:33gx6fujgnfgldd3css2zbd3ia

Performance Evaluation of Decomposition Methods in Perturbed Walking

Nurul Nurwulan
2020 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
In conclusion, the DWT can be used to increase the sensitivity of the SSI method in detecting walking perturbation.  ...  The vertical acceleration data were decomposed using 4, 6, and 8 levels of ensemble empirical mode decomposition (EEMD), discrete wavelet transform (DWT), and wavelet packet decomposition (WPD) before  ...  Previous comparative study evaluated the performance of wavelets as decomposition methods in walking detection showed that discrete wavelet was more efficient than the continuous wavelet [14] .  ... 
doi:10.18280/ria.340106 fatcat:iafwhz2g75gpxdxzn7stzsn6wq
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