Course description

This involves using machine learning algorithms to analyze the sensor data and recognize patterns that are indicative of different activities, such as walking, running, sitting, or standing. By accurately identifying and classifying these activities, the technology can be used to monitor and track human behavior in a variety of settings, such as healthcare, fitness, and security.

What will i learn?

• 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.