Motivating continous Sharing of Physical activity using non-Intrusive Data Extraction methods Retro- and prospectively
About the technology
Data collection of physical data from study participants is time consuming and expensive. State of the art is moving towards the use of data from consumer-based equipment. However, since there are many vendors with separate method for extracting data, there is a need for a system that can handle this data collection in a more automatic way. mSpider is a tool where health researchers can register participants, after which the system will automatically handle the data extraction.
mSpider is compatible with the major consumer-based activity trackers such as Fitbit, Garmin etc and other smart equipment. The system can upload both historic and future data. Although mSpider has been developed as a research tool in mind, its application areas also include remote patient monitoring in terms of long-term physical activity.
Value proposition
- Sensor agnostic, supports all major devices
- Fully automatic
- Ready to use, does not require any programming resources
- Prototype tested and used in several
research projects
Resources and partners
- Department of Computer Science, UiT.
- RESTART, a NFR (336341) funded RCT
- mSpider is currently used as research
infrastructure at UiT
Opportunities for Collaboration
We are currently looking for industry partners or potential users who finds interest in our technology. We are open for working together on the development of mSpider to accommodate your needs.
Partners
Contact information
Les om andre prosjekter:
Motivating continous Sharing of Physical activity using non-Intrusive Data Extraction methods Retro- and prospectively About the technology Data collection of physical data …
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