Aspects of the technology described herein can analyze signal data from multiple computing devices to ascertain a user's exercise pattern. Understanding a user's exercise pattern can help reduce power usage by automatically turning physiological sensors on and off to coincide with the start and end of an exercise event. Exemplary computing devices that can provide signal data related to a user's exercise routine can include a mobile computing device (e.g., smart phone) that captures location signals and other contextual data and a wearable computing device (e.g., fitness tracker) that captures physiological characteristics of the user, such as heart rate, temperature, and movement. The signals captured by the multiple computing devices can be analyzed together to determine when an individual exercise event has occurred. The plurality of exercise events associated with a user or group of users can be analyzed to ascertain an exercise pattern.
