Artificial neural networks for classifying the time series sensor data generated by medical detection dogs
作者：
Highlights：
• A novel application of machine learning in the field of Animal-Computer Interaction.
• Pressure sensors record dogs’ sniffing pattern to generate time series data.
• Neural network time series classifiers applied to detection dogs' scenting signals.
• Neural network classifier matches dogs’ true positive rate.
• Machine learning models show promise to augment dog response interpretation accuracy.
摘要
•A novel application of machine learning in the field of Animal-Computer Interaction.•Pressure sensors record dogs’ sniffing pattern to generate time series data.•Neural network time series classifiers applied to detection dogs' scenting signals.•Neural network classifier matches dogs’ true positive rate.•Machine learning models show promise to augment dog response interpretation accuracy.
论文关键词：Animal computer interaction,Time series classification,Classification algorithms,Intelligent system,Convolutional neural network,Sensors
论文评审过程：Received 12 March 2020, Revised 24 June 2021, Accepted 4 July 2021, Available online 10 July 2021, Version of Record 16 July 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115564
