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Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification

Juan P Dominguez-Morales, Lourdes Duran-Lopez, Daniel Gutierrez-Galan, Antonio Rios-Navarro, Alejandro Linares-Barranco, Angel Jimenez-Fernandez
2021 Sensors  
Monitoring animals' behavior living in wild or semi-wild environments is a very interesting subject for biologists who work with them.  ...  The results show that the embedded networks obtain up to 97.96% ± 1.42% accuracy, achieving an energy efficiency of 450 Mops/s/watt.  ...  The processing can be done using statistical models like [15, 16] or using Embedded Neural Network (ENN) algorithms like [17] .  ... 
doi:10.3390/s21092975 pmid:33922753 fatcat:44m4hqbgl5g3tgsr5ycvsirhb4

A Survey of Deep Active Learning [article]

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang
2021 arXiv   pre-print
This article is to fill this gap, we provide a formal classification method for the existing work, and a comprehensive and systematic overview.  ...  A natural idea is whether AL can be used to reduce the cost of sample annotations, while retaining the powerful learning capabilities of DL. Therefore, deep active learning (DAL) has emerged.  ...  Deep active learning: Unified and principled method for query and training. In International Conference on Artificial Intelligence and Statistics.  ... 
arXiv:2009.00236v2 fatcat:zuk2doushzhlfaufcyhoktxj7e

REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health

Maryam Pishgar, Salah Fuad Issa, Margaret Sietsema, Preethi Pratap, Houshang Darabi
2021 International Journal of Environmental Research and Public Health  
The field of artificial intelligence (AI) is rapidly expanding, with many applications seen routinely in health care, industry, and education, and increasingly in workplaces.  ...  Methods: This paper introduces a new framework called Risk Evolution, Detection, Evaluation, and Control of Accidents (REDECA) that highlights the role that AI plays in the anticipation and control of  ...  Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN) are popular NN that are used for the implementation of DL algorithms [31] . 1.1.2.  ... 
doi:10.3390/ijerph18136705 pmid:34206378 pmcid:PMC8296875 fatcat:rjbt6vdevre47dviox32sifkzy

Image Analysis and Computer Vision Applications in Animal Sciences: An Overview

Arthur Francisco Araújo Fernandes, João Ricardo Rebouças Dórea, Guilherme Jordão de Magalhães Rosa
2020 Frontiers in Veterinary Science  
score, and gait.  ...  There are also images generated by other signals, such as sound (ultrasound scanners and sonars) and radiation (standard x-ray and computed tomography), which are widely used to produce medical images.  ...  the financial support from the Coordination for the Improvement of High Education Personnel (CAPES), Brazil ordinance (49/2013), the Wisconsin Agriculture Experiment Station Hatch grant (142-AAC7939), and  ... 
doi:10.3389/fvets.2020.551269 pmid:33195522 pmcid:PMC7609414 fatcat:zcxwjdglorfmzjow5fg7wh7ldm

Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings

Alexandre Szenicer, Michael Reinwald, Ben Moseley, Tarje Nissen‐Meyer, Zachary Mutinda Muteti, Sandy Oduor, Alex McDermott‐Roberts, Atilim G. Baydin, Beth Mortimer, Vincent Lecours, Francesco Rovero
2021 Remote Sensing in Ecology and Conservation  
Our results suggest that seismic data offer substantial benefits for monitoring wildlife, and we propose to further develop our methods using dense arrays that could result in a seismic shift for wildlife  ...  Our classifiers, different convolutional neural networks trained on seismograms and spectrograms, achieved 80%-90% balanced accuracy in detecting elephants up to 100 m away, and over 90% balanced accuracy  ...  We thank Frank Pope and staff at Save the Elephants for help getting research permits and Kenyan Wildlife Service affiliations, and Paula Koelemeijer for help with sensor deployment. A.  ... 
doi:10.1002/rse2.242 fatcat:rehqylnva5g6ldxcrnregsy34a

Program

2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
In this paper, we propose the concept of integrated circuit recycling, and demonstrate a statistical health assessment method using artificial neuron network (ANN) based search tree along with an optimal  ...  We investigate the frame subtraction method in the research of the security surveillance system for old people by artificial intelligence using deep neural networks.  ...  In our evaluation, we try to predict the dye color combinations using both statistical and neural network approaches.  ... 
doi:10.1109/icce-taiwan49838.2020.9258230 fatcat:g25vw7mzvradxna2grlzp6kgiq

Thermal cameras and applications: a survey

Rikke Gade, Thomas B. Moeslund
2013 Machine Vision and Applications  
Applications include animals, agriculture, buildings, gas detection, industrial, and military applications, as well as detection, tracking, and recognition of humans.  ...  Moreover, this survey describes the nature of thermal radiation and the technology of thermal cameras.  ...  Neural networks have also been used as an early approach here [197] .  ... 
doi:10.1007/s00138-013-0570-5 fatcat:pnln65h2ovcfrophfy2eijcbue

Volume 1 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods to be held in Krakow, Poland, October 15-18, 2021 [article]

Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil
2020 figshare.com  
Any opinions, finding, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the United States Air Force.  ...  for providing test data, Eric Lo for providing additional guidance on the algorithm, Allison Busa for initial experiments on machine learning processes, Charmaine Beluso for reviewing annotation tools used  ...  State of the art techniques, such as filter-bank common spatial pattern (FBSCP) or deep neural networks (DNN), use learnt features to classify EEG tasks to achieve superior results to static solutions.  ... 
doi:10.6084/m9.figshare.13013717.v3 fatcat:vurhypp455epdf6t5dkecktvsa

Volume 1 of the Proceedings of the joint meeting of the 12th International Conference on Measuring Behavior and the 6th Seminar on Behavioral Methods to be held in Krakow, Poland, October 15-18 2021 [article]

Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil
2020 figshare.com  
Any opinions, finding, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the United States Air Force.  ...  for providing test data, Eric Lo for providing additional guidance on the algorithm, Allison Busa for initial experiments on machine learning processes, Charmaine Beluso for reviewing annotation tools used  ...  State of the art techniques, such as filter-bank common spatial pattern (FBSCP) or deep neural networks (DNN), use learnt features to classify EEG tasks to achieve superior results to static solutions.  ... 
doi:10.6084/m9.figshare.13013717.v1 fatcat:a5boldd3xjd5pgzkp5crt2mq5m

Volume 1 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods to be held in Krakow, Poland, October 15-18, 2021 [article]

Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil
2020 figshare.com  
Any opinions, finding, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the United States Air Force.  ...  for providing test data, Eric Lo for providing additional guidance on the algorithm, Allison Busa for initial experiments on machine learning processes, Charmaine Beluso for reviewing annotation tools used  ...  State of the art techniques, such as filter-bank common spatial pattern (FBSCP) or deep neural networks (DNN), use learnt features to classify EEG tasks to achieve superior results to static solutions.  ... 
doi:10.6084/m9.figshare.13013717.v5 fatcat:3watuvbpefdenkd3om7invrg6m

Volume 1 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods to be held in Krakow, Poland, October 15-18, 2021 [article]

Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil
2020 figshare.com  
The authors would also like to thank Corina Most for her useful feedback on the project and the other field staff for their support.  ...  Additional support was provided by the UCSD ECE and CSE departments and the UCSD Qualcomm Institute.  ...  State of the art techniques, such as filter-bank common spatial pattern (FBSCP) or deep neural networks (DNN), use learnt features to classify EEG tasks to achieve superior results to static solutions.  ... 
doi:10.6084/m9.figshare.13013717.v4 fatcat:k735cpkurba77fbgbbf7gqldqu

ICVM-7 abstracts

2004 Journal of morphology  
Using a neuromechanical simulation, i.e., a simulation that combines a biomechanical model of the body and a neural network model of the locomotor central pattern generator (CPG), we investigate several  ...  organizations of neural networks capable of producing this bimodal locomotion.  ... 
doi:10.1002/jmor.10223 fatcat:7q7nxz3x3vdc3ooyppypfpgoee

Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022 [article]

Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil
2022 figshare.com  
Volume 2 of Measuring Behavior 2022, the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022.  ...  Acknowledgments The authors acknowledge Hope Tech™ for their generation of chainrings used in the study. Acknowledgement This  ...  This publication is partly funded by the Federal Ministry of Education and Research under the project reference numbers 16FMD01K, 16FMD02 and 16FMD03.  ... 
doi:10.6084/m9.figshare.20066849.v2 fatcat:f7ndcnjqlfbr3ptetfjij4hehm

Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022 [article]

Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil
2022 figshare.com  
Volume 2 of Measuring Behavior 2022, the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022.  ...  Acknowledgments The authors acknowledge Hope Tech™ for their generation of chainrings used in the study. Acknowledgement This  ...  This publication is partly funded by the Federal Ministry of Education and Research under the project reference numbers 16FMD01K, 16FMD02 and 16FMD03.  ... 
doi:10.6084/m9.figshare.20066849.v1 fatcat:zfef2d4x4fgsxibcplwkpae4yq

Thesis Latika Nath.pdf

Latika Nath
2021 figshare.com  
Behaviour patterns observed included the tolerance by male tigers for their offspring and tool use by tigers.  ...  The study led to conclusions and recommendations for management at the Park or local level – specific to Bandhavgarh, at the regional level (the state of Madhya Pradesh) and the national wildlife conservation  ...  , Autoclassfor the unsupervised classification of pugmarks: Riordan (1999) used a neural network based method, the Kohonen self-organising map and a Bayesian method, Autoclass, for the unsupervised classification  ... 
doi:10.6084/m9.figshare.14524353.v1 fatcat:gl55j7xn5vagrht5tyhqbew2zy
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