Titlebook: IoT Sensor-Based Activity Recognition; Human Activity Recog Md Atiqur Rahman Ahad,Anindya Das Antar,Masud Ahme Book 2021 Springer Nature Sw

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Sensor-Based Benchmark Datasets: Comparison and Analysis,. To make efficient machine learning models, researchers need publicly available benchmark datasets. In this chapter, we have bestowed a comprehensive survey on sensor-based benchmark datasets. We have not considered RGB or RGB-Depth video-based action or activity-related datasets in this book. We h

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,An Overview of Classification Issues in Sensor-Based Activity Recognition,of classification problems explaining their different types with examples. Binary classification, multilabel classification, multi-class classification, and hierarchical classification tasks are presented in this chapter. At the end, we have given a brief summary about the bias-variance trade-off pr

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Performance Evaluation in Activity Classification: Factors to Consider,e performance for machine learning methods can be performed using some evaluation matrices. This chapter properly explains the evaluation matrices namely accuracy, precision, recall, F1 score, balance classification rate, confusion matrix, and so on. Graphical performance measures namely ROC curve,

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