AUTHOR=Holloway Catherine , Bhot William , Yong Keir X. X. , McCarthy Ian , Suzuki Tatsuto , Carton Amelia , Yang Biao , Serougne Robin , Boampong Derrick , Tyler Nick , Crutch Sebastian J. , Berthouze Nadia , Cho Youngjun 

TITLE=STEP-UP: Enabling Low-Cost IMU Sensors to Predict the Type of Dementia During Everyday Stair Climbing

JOURNAL=Frontiers in Computer Science

VOLUME=3

YEAR=2022

URL=https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2021.804917

DOI=10.3389/fcomp.2021.804917

ISSN=2624-9898

ABSTRACT=<p>Posterior Cortical Atrophy is a rare but significant form of dementia which affects people's visual ability before their memory. This is often misdiagnosed as an eyesight rather than brain sight problem. This paper aims to address the frequent, initial misdiagnosis of this disease as a vision problem through the use of an intelligent, cost-effective, wearable system, alongside diagnosis of the more typical Alzheimer's Disease. We propose low-level features constructed from the IMU data gathered from 35 participants, while they performed a stair climbing and descending task in a real-world simulated environment. We demonstrate that with these features the machine learning models predict dementia with 87.02% accuracy. Furthermore, we investigate how system parameters, such as number of sensors, affect the prediction accuracy. This lays the groundwork for a simple clinical test to enable detection of dementia which can be carried out in the wild.</p>