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Human Activity Recognition with Smartphone using machine learning

Human Activity Recognition with Smartphone using machine learning

Rp 1299

Rp 4999

Human Activity Recognition with Smartphone using machine learning refers to the process of identifying and classifying different human activities based on the data collected from sensors in a smartphone.

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Has discount
Expiry period	Lifetime
Made in	English
Last updated at	Fri Apr 2023
Level	Intermediate
Total lectures	9
Total quizzes	0
Total duration	00:40:25 Hours
Total enrolment	4
Number of reviews	0
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Short description	Human Activity Recognition with Smartphone using machine learning refers to the process of identifying and classifying different human activities based on the data collected from sensors in a smartphone.
Outcomes	By tracking and analyzing human activity patterns, healthcare professionals can better monitor patients' physical activity levels and identify potential health issues. Smartphones equipped with machine learning algorithms can help fitness enthusiasts track their activities and progress towards fitness goals. Machine learning algorithms can be used to detect suspicious behavior patterns and alert security personnel to potential threats. Human Activity Recognition with Smartphone using machine learning can provide personalized recommendations to users based on their activity patterns, such as suggesting activities to increase physical activity or reduce sedentary behavior. Machine learning algorithms can adapt to users' activity patterns and preferences, resulting in a more personalized and intuitive user experience.
Requirements	Machine Learning projects