That show a very high recognition performance of these models. Prior studies contain a plethora of activity recognition models and pre-processing techniques While high accuracy is essential in some applications, the device’s battery life is highly critical to the end-user. Inadequate preprocessing can negatively impact the overall HAR performance.
Given that these HAR models run on wearables, which are resource-constrained, factors like These models have been applied in different areas such as health, fitness tracking, entertainment, or advertisement. During the past few years, many HAR models have been introduced with different accuracies and performance. Gyroscope, light) can provide useful data for Human Activity Recognition (HAR). Their built-in sensors (e.g., GPS, accelerometer,
Wearables are becoming increasingly popular.
