A Convolutional Neural Network-Based Sensor Fusion System for Monitoring Transition Movements in Healthcare Applications

Simple item page
dc.contributor.authorDawar, Neha
dc.contributor.authorKehtarnavaz, Nasser
dc.date.accessioned2019-06-28T18:11:08Z
dc.date.available2019-06-28T18:11:08Z
dc.date.created2018-06-12
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates.
dc.description.abstractThis paper presents a convolutional neural network-based sensor fusion system to monitor six transition movements as well as falls in healthcare applications by simultaneously using a depth camera and a wearable inertial sensor. Weighted depth motion map images and inertial signal images are fed as inputs into two convolutional neural networks running in parallel, one for each sensing modality. Detection and thus monitoring of the transition movements and falls are achieved by fusing the movement scores generated by the two convolutional neural networks. The results obtained for both subject-generic and subject-specific testing indicate the effectiveness of this sensor fusion system for monitoring these transition movements and falls. © 2018 IEEE.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationDawar, N., and N. Kehtarnavaz. 2018. "A convolutional neural network-based sensor fusion system for monitoring transition movements in healthcare applications." IEEE 14th International Conference on Control and Automation (ICCA): 482-485, doi:10.1109/ICCA.2018.8444326
dc.identifier.isbn9781538660898
dc.identifier.urihttps://hdl.handle.net/10735.1/6624
dc.language.isoen
dc.publisherIEEE Computer Society
dc.relation.isPartOf2018 IEEE 14th International Conference on Control and Automation (ICCA), Anchorage, AK
dc.relation.urihttp://dx.doi.org/10.1109/ICCA.2018.8444326
dc.rights©2018 IEEE
dc.source.journalIEEE International Conference on Control and Automation, ICCA
dc.subjectConvolutions (Mathematics)--Computer programs
dc.subjectMedical care
dc.subjectNeural networks (Computer science)--Models
dc.subjectPatient monitoring
dc.subjectInertial navigation systems
dc.subjectWearable sensors
dc.titleA Convolutional Neural Network-Based Sensor Fusion System for Monitoring Transition Movements in Healthcare Applications
dc.type.genrearticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
JECS-4163-279674.41-LINK.pdf
Size:
165 KB
Format:
Adobe Portable Document Format
Description:
Link to Article
Download

Collections

Kehtarnavaz, Nasser