Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data.

The dataset presented in this paper presents a dataset related to three motionless activities, including driving, watching TV, and sleeping. During these activities, the mobile device may be positioned in different locations, including the pants pockets, in a wristband, over the bedside table, on a table, inside the car, or on other furniture, for the acquisition of accelerometer, magnetometer, gyroscope, GPS, and microphone data. The data was collected by 25 individuals (15 men and 10 women) in different environments in Covilhã and Fundão municipalities (Portugal). The dataset includes the sensors' captures related to a minimum of 2000 captures for each motionless activity, which corresponds to 2.8 h (approximately) for each one. This dataset includes 8.4 h (approximately) of captures for further analysis with data processing techniques, and machine learning methods. It will be useful for the complementary creation of a robust method for the identification of these type of activities. Measurement(s) motion sensors • GPS navigation system • Microphone Device • physical activity Technology Type(s) Smartphone Application • Artificial Intelligence Factor Type(s) raw data Sample Characteristic - Organism Individual Behavior Sample Characteristic - Environment road • house Sample Characteristic - Location Municipality of Fundao • Municipality of Covilha [ABSTRACT FROM AUTHOR]