Affiliation:
1. SRM Instıtute of Science and Technology, India
2. Dhaanish Ahmed College of Engineering, India
Abstract
Physical activity helps manage weight and stay healthy. It becomes more critical during a pandemic since outside activities are restricted. Using tiny wearable sensors and cutting-edge machine intelligence to track physical activity can help fight obesity. This study introduces machine learning and wearable sensor methods to track physical activity. Daily physical activities are typically unstructured and unplanned, and sitting or standing may be more common than others (walking stairs upstairs down). No activity categorization system has examined how class imbalance affects machine learning classifier performance. Fitness can boost cardiovascular capacity, focus, obesity prevention, and life expectancy. Dumbbells, yoga mats, and horizontal bars are used for home fitness. Home gym-goers utilise social media to learn fitness, but its effectiveness is limited.
Reference49 articles.
1. Development of Automatic Change-Over with Auto-Start Timer and Artificial Intelligent Generator.;Y.Abdullahi;FMDB Transactions on Sustainable Energy Sequence,2023
2. Design of an energy-efficient IOT device-assisted wearable sensor platform for healthcare data management
3. Deep Learning for Monitoring of Human Gait: A Review
4. A Creating Musical Compositions Through Recurrent Neural Networks: An Approach for Generating Melodic Creations.;P. P.Anand;FMDB Transactions on Sustainable Computing Systems,2023
5. Dynamic Intelligence-Driven Engineering Flooding Attack Prediction Using Ensemble Learning