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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

Physical Activity Detection and Tracking—Review

verfasst von : Rasika Naik, Harsh Vijay Shrivastava, Maitreya Kadam, Ishan Jain, Kuldeep Singh

Erschienen in: ICT: Innovation and Computing

Verlag: Springer Nature Singapore

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Abstract

Accurately classifying physical activity is a big undertaking in a variety of industries, from healthcare to sports analytics. Physical activity plays a critical role in maintaining health and well-being. This review article offers a thorough overview of the many approaches and procedures used to categorize physical activities. We look at how the classification of physical activity has changed over time, from conventional approaches to the most recent developments in machine learning and sensor technologies. The study discusses several algorithms and methods used in physical activity classification, including adaptive boosting, random forest, KNN, and artificial neural network.

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Vorheriges Kapitel Microarray Data Classification and Gene Selection Using Convolutional Neural Network
Nächstes Kapitel Brain-Inspired Traffic Incident Detection for Effective Communication
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Metadaten
Titel
Physical Activity Detection and Tracking—Review
verfasst von
Rasika Naik
Harsh Vijay Shrivastava
Maitreya Kadam
Ishan Jain
Kuldeep Singh
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
ICT: Innovation and Computing

Print ISBN: 978-981-9994-85-4

Electronic ISBN: 978-981-9994-86-1

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-981-99-9486-1_19

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