Andrea Iaboni

Orcid: 0000-0003-4268-6832

According to our database1, Andrea Iaboni authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Depth-Weighted Detection of Behaviours of Risk in People with Dementia using Cameras.
CoRR, 2024

Benchmarking Skeleton-based Motion Encoder Models for Clinical Applications: Estimating Parkinson's Disease Severity in Walking Sequences.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023
Walking path images from real-time location data predict degree of cognitive impairment.
Artif. Intell. Medicine, October, 2023

Ambient Monitoring of Gait and Machine Learning Models for Dynamic and Short-Term Falls Risk Assessment in People With Dementia.
IEEE J. Biomed. Health Informatics, July, 2023

Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing?
J. Heal. Informatics Res., March, 2023

Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia.
CoRR, 2023

Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Empirical Thresholding on Spatio-Temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit.
Proceedings of the 20th Conference on Robots and Vision, 2023

Investigating Multimodal Sensor Features Importance to Detect Agitation in People with Dementia.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

2022
Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults With Dementia.
IEEE J. Biomed. Health Informatics, 2022

Indoor Location Data for Tracking Human Behaviours: A Scoping Review.
Sensors, 2022

Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos.
CoRR, 2022

Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia.
IEEE Access, 2022

2021
A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.
J. Heal. Informatics Res., 2021

Tracking agitation in people living with dementia in a care environment.
CoRR, 2021

Prediction of Parkinsonian Gait in Older Adults with Dementia using Joint Trajectories and Gait Features from 2D Video <sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Tracking agitation in people living with dementia in a care environment.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2019
Challenges in Collecting Big Data in A Clinical Environment with Vulnerable Population: Lessons Learned from A Study Using A Multi-modal Sensors Platform.
Sci. Eng. Ethics, 2019

Agitation Detection in People Living with Dementia using Multimodal Sensors.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017
DAAD: A Framework for Detecting Agitation and Aggression in People Living with Dementia Using a Novel Multi-modal Sensor Network.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017


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