Cattle behaviour classification from collar, halter, and ear tag sensors

Rahman, Ashfaqur; Smith, Daniel; Little, Bryce; Ingham, Aaron; Greenwood, P. L.; Bishop-Hurley, Greg

doi:10.1016/j.inpa.2017.10.001

Cited by 96 publications

(65 citation statements)

References 18 publications

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“…Table 4, on the other hand, plots some peak-based features which have been generated for all the axis of the triaxial accelerometer and triaxial gyroscope for both neck and tail devices. The activities for which data was fetched tended to show a wide range of physical movements; therefore, features based on the peakedness of the signal were hoped to provide us with subtle differences in the movement patterns [23,24].…”

Section: Feature Engineeringmentioning

confidence: 99%

The Design of an Automated System for the Analysis of the Activity and Emotional Patterns of Dogs with Wearable Sensors Using Machine Learning

et al. 2019

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The safety and welfare of companion animals such as dogs has become a large challenge in the last few years. To assess the well-being of a dog, it is very important for human beings to understand the activity pattern of the dog, and its emotional behavior. A wearable, sensor-based system is suitable for such ends, as it will be able to monitor the dogs in real-time. However, the question remains unanswered as to what kind of data should be used to detect the activity patterns and emotional patterns, as does another: what should be the location of the sensors for the collection of data and how should we automate the system? Yet these questions remain unanswered, because to date, there is no such system that can address the above-mentioned concerns. The main purpose of this study was (1) to develop a system that can detect the activities and emotions based on the accelerometer and gyroscope signals and (2) to automate the system with robust machine learning techniques for implementing it for real-time situations. Therefore, we propose a system which is based on the data collected from 10 dogs, including nine breeds of various sizes and ages, and both genders. We used machine learning classification techniques for automating the detection and evaluation process. The ground truth fetched for the evaluation process was carried out by taking video recording data in frame per second and the wearable sensors data were collected in parallel with the video recordings. Evaluation of the system was performed using an ANN (artificial neural network), random forest, SVM (support vector machine), KNN (k nearest neighbors), and a naïve Bayes classifier. The robustness of our system was evaluated by taking independent training and validation sets. We achieved an accuracy of 96.58% while detecting the activity and 92.87% while detecting emotional behavior, respectively. This system will help the owners of dogs to track their behavior and emotions in real-life situations for various breeds in different scenarios.

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Section: Feature Engineeringmentioning

confidence: 99%

The Design of an Automated System for the Analysis of the Activity and Emotional Patterns of Dogs with Wearable Sensors Using Machine Learning

et al. 2019

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“…With the use of fingerprint in the field of medicine detection and quality control, how to control the pharmacological information of pharmacological substances by fingerprint, Gradually turning into a mathematical method involving a large number of calculations to analyze and process data [7][8][9][10]. The common computer processing methods of medicine information data have regression analysis, cluster analysis, artificial neural network, and so on [11][12][13][14][15][16][17]].…”

Section: Computer Information Processing In the Fingerprint Of Tcmmentioning

confidence: 99%

Research of Digital Based on Network Model in the Fingerprint of Traditional Chinese Medicines (TCM)

Qian

2019

ITM Web Conf.

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In this paper, a network model is used to simulate the fingerprint of TCM, the fingerprint is digitized, it is easy to store and display by simplifying the data processed. Application of digital processing technology and pattern recognition technology sets up the standard fingerprint. According to the standard fingerprint of TCM, Identify the quality and authenticity of the medicines, especially with the lack of medicines. It can realize medicinal materials testing in comprehensive evaluation of internal quality and overall control of the whole matter, according to the fingerprint of TCM. Improve the overall level of the TCM industry and promote the early development of the Chinese medicine industry to the world.

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“…Regarding cow and cattle tracking, the authors in [16] use data collected from collar, halter and ear tag to classify cattle behavior. In [17], small, inexpensive GPS loggers are used to monitor cattle movements and to analyze the impact of cattle grazing on vegetation in central Kenya.…”

Section: Related Workmentioning

confidence: 99%

“…In [17], small, inexpensive GPS loggers are used to monitor cattle movements and to analyze the impact of cattle grazing on vegetation in central Kenya. In both studies [16] and [17], the analyses are performed offline. One recent study describes an IoT framework in Greece using LoRaWAN long range communications [18].…”

Section: Related Workmentioning

confidence: 99%

Real-time internet of things architecture for wireless livestock tracking

Stojkoska¹,

Bogatinoska²,

Scheepers³

et al. 2018

Telfor J

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Automatic livestock tracking is necessary for countries facing stock theft problems, like South Africa and Kenya. This paper presents a conceptual design of architecture for real-time wireless livestock tracking based on Internet of Things paradigm. It is a hierarchical model consisting of three building blocks, where the first block is represented with wireless sensor network. Additionally, we have developed a low-power device for livestock tracking in an outdoor environment. The animal tracking device (AnTrack) is self-sustainable with a watertight solar panel(s), designed as a collar to be worn by the animals. A detailed analysis of the AnTrack power consumption proves that the device is capable to generate enough supply power, even when there is no sunshine for a week. This device can be used as a robust building block of future real-time Internet of Things livestock tracking solutions. Keywords-livestock tracking architecture, Internet of Things, animal collar.

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Cattle behaviour classification from collar, halter, and ear tag sensors

Cited by 96 publications

References 18 publications

The Design of an Automated System for the Analysis of the Activity and Emotional Patterns of Dogs with Wearable Sensors Using Machine Learning

The Design of an Automated System for the Analysis of the Activity and Emotional Patterns of Dogs with Wearable Sensors Using Machine Learning

Research of Digital Based on Network Model in the Fingerprint of Traditional Chinese Medicines (TCM)

Real-time internet of things architecture for wireless livestock tracking

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