OpenMovement is a collection of opensource hardware sensors and software tools for research use. The sensors all feature a MEMS triaxial accelerometer as a base sensor but also contain other sensors for context. There are two types of OpenMovement sensors: wireless and logging.
Logging sensors are useful for taking measurements outside the lab and data collection in difficult environments. The sensors use inbuilt memory to store data and the software tools facilitate the download of data for post analysis.
Wireless sensors currently use the very low-power IEEE 802.15.4 standard and continuously transmit their data back in a start topology network. At network hub is connected to a computer that can reason what the data means and issue control or automation type commands.
Open movement sensors are actively being used in a number of projects both within our lab and others all over the world.
External users include:
- Microsoft Research Cambridge
- Philips Research
- Institute for Media Technology, TU Munich
- Health Systems Institute, University Georgia Tech Instiute.
- University of Limerick
- CARU: Clinical Ageing Research Unit
- The Centre for Usable Home Technology (CUHTec), University of York
- Institute for Ageing & Health, Newcastle University
- Institute of Cellular Medicine, Newcastle University
- Institute of Health & Society, Newcastle University
- School of Education Communication and Language Sciences, Newcastle University
- School of Agricuture, Food & Rural Development Newcastle University
DI Projects that use OpenMovement sensors:
- SIDE (Social Inclusion through the digital economy).
- Can Cueing Improve Swallowing and Prevent Drooling in Parkinson’s Disease?
- Designing Scalable Assistive Technologies and Services.
- ACCEL-O-SURG (accelerometers for surgical training)
- TEDDI: Building Management and Energy Demand.
- Activity Recognition to Improve Motor Performance in Parkinson’s
See the OpenMovement website: