Activities Data Context

The Activities feature of the Nowatch Research API allows users to monitor physical or non-physical activities. This data helps contextualize information in the Timeline and provides insights into user well-being.

Activity Detection

• Auto-detection: NOWATCH devices can automatically detect running, cycling, and walking activities if they are performed for at least 5 consecutive minutes.
• Manual Logging: Users have the option to manually log a wide range of other activities not covered by auto-detection.

Activity Data Structure

Each activity record includes the following information:

• Start and End Timestamps: Precise timestamps indicating when an activity began and ended.
• Activity Tag: A specific tag identifying the type of activity (e.g., running, cycling, football, dancing).
• Origin: Indicates how the activity data was recorded (e.g., manually logged by the user or auto-detected by the device).