Terms of use and privacy Fitbit

TERMS OF SERVICE

ACTIVAGE research focus is on the detection of possible symptoms of cognitive decline in healthy older adults that can become part of the risk group, and endanger their independence. It will also provide interventions to preserve their personal autonomy and independence. This is developed through the automatic detection of mobility in the city of the elderly, with the use of non-intrusive sensors that can be found in FITBIT. No sensitive data or personal information of the FITBIT or the associated questions will be gathered, and the mobility data will be anonymized.

This data will only be registered with a unique identifier of the person, in order to keep anonymity of the participant. According to the provisions of L he European Union’s General Data Protection Regulation (“GDPR”), LST-UPM informs the users of the existence of files where the data collected from the study are stored. The user may at any time exercise their rights of access, rectification, cancellation or opposition recognized at Law Automated data files are the responsibility of LST-UPM with address at Av. Complutense 30, 28040 Madrid (Spain), who is committed to fulfilling its obligation of secrecy of the data contained in the files, not allowing access to third parties for different purposes for which they have been authorized. This research presents no risks involved and the expected benefit of it is to promote quality of life.

Participating in this research does not generate any present or future obligation and refusal to participate will not affect you in any way.

 

INFORMATION WE COLLECT

LST-UPM in the framework of ACTIVAGE European research project (GRANT agreement 732679) aims to access to certain logs for the FITBIT services to contribute on the research of early detection and prevention of cognitive performance decrease and also on the falling risk of elderly individuals. The data that we access are the estimation of the number of steps you take, your distance travelled, calories burned, weight, heart rate, sleep stages, active minutes, and location.

 

HOW we use this information

Using the information we collect, we are able to research effective ways to deliver interventions oriented to prevent the falling by physical training and exercises.