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Parkinson’s disease (PD) is a neurodegenerative disorder characterised by motor symptoms such as gait dysfunction and postural instability. Technological tools to continuously monitor outcomes could capture the hour-by-hour symptom fluctuations of PD. Development of such tools is hampered by the lack of labelled datasets from home settings. To this end, we propose REMAP (REal-world Mobility Activities in Parkinson’s disease), a human rater-labelled dataset collected in a home-like setting. It includes people with and without PD doing sit-to-stand transitions and turns in gait. These discrete activities are captured from periods of free-living (unobserved, unstructured) and during clinical assessments. The PD participants withheld their dopaminergic medications for a time (causing increased symptoms), so their activities are labelled as being “on” or “off” medications. Accelerometry from wrist-worn wearables and skeleton pose video data is included. W

Region flamandeUnited statesNew yorkBruxelles capitaleNordrhein westfalenCatalin ionescuInternational conference on image processingAssociation for computing machineryMax planck institute for psycholinguisticsMovement disordersJournal of medical internet researchInternational conference on computer visionJournal of the american geriatrics societyInternational conference on pervasive computingAssistive technologyElectronics vision