all AI news
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers. (arXiv:2205.06142v1 [cs.LG])
May 13, 2022, 1:11 a.m. | Ferdian Jovan, Ryan McConville, Catherine Morgan, Emma Tonkin, Alan Whone, Ian Craddock
cs.LG updates on arXiv.org arxiv.org
Parkinson's disease (PD) is a slowly progressive debilitating
neurodegenerative disease which is prominently characterised by motor symptoms.
Indoor localisation, including number and speed of room to room transitions,
provides a proxy outcome which represents mobility and could be used as a
digital biomarker to quantify how mobility changes as this disease progresses.
We use data collected from 10 people with Parkinson's, and 10 controls, each of
whom lived for five days in a smart home with various sensors. In order …
arxiv disease mobility multimodal parkinson's parkinson's disease transformers
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Software Engineer, Data Tools - Full Stack
@ DoorDash | Pune, India
Senior Data Analyst
@ Artsy | New York City