2019
DOI: 10.1159/000500971
|View full text |Cite
|
Sign up to set email alerts
|

Real-Time Detection of Spatial Disorientation in Persons with Mild Cognitive Impairment and Dementia

Abstract: <b><i>Background:</i></b> Detecting manifestations of spatial disorientation in real time is a key requirement for adaptive assistive navigation systems for people with dementia. <b><i>Objective:</i></b> To identify predictive patterns of spatial disorientation in cognitively impaired people during unconstrained locomotion behavior in an urban environment. <b><i>Methods:</i></b> Accelerometric data and GPS records were gathered during a wa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
40
0
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 26 publications
(45 citation statements)
references
References 38 publications
0
40
0
2
Order By: Relevance
“…The variations in motion and physiological data observed among our pilot participants illustrates that we are able to adequately obtain the relevant motion and physiological parameters within our approach. As building situation-adaptive devices for supporting navigation among people with dementia relies on the adequate detection of disorientation [ 6 ], our setup therefore provides a promising approach to acquiring the needed data.…”
Section: Discussionmentioning
confidence: 99%
See 4 more Smart Citations
“…The variations in motion and physiological data observed among our pilot participants illustrates that we are able to adequately obtain the relevant motion and physiological parameters within our approach. As building situation-adaptive devices for supporting navigation among people with dementia relies on the adequate detection of disorientation [ 6 ], our setup therefore provides a promising approach to acquiring the needed data.…”
Section: Discussionmentioning
confidence: 99%
“…Wearable sensor data and data provided by the GRAIL system are synchronized by an event-based mechanism (ie, participants perform a distinctive movement at the beginning of the recording, which can be easily located in all sensors) and are resampled to 100 Hz. All wearable sensors have been used in previous studies [ 6 , 30 ] and validated [ 31 - 33 ].…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations