Andrea Iaboni
Orcid: 0000-0003-4268-6832
According to our database1,
Andrea Iaboni authored at least 25 papers
between 2017 and 2026.
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Bibliography
2026
Depth-weighted detection of behaviours of risk in people with dementia using cameras.
Biomed. Signal Process. Control., 2026
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
FastHMR: Accelerating Human Mesh Recovery via Token and Layer Merging with Diffusion Decoding.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model - Bringing Motion Generation to the Clinical Domain.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
2025
A Novel Multi-Modal Sensor Dataset and Benchmark to Detect Agitation in People Living with Dementia in a Residential Care Setting.
ACM Trans. Comput. Heal., July, 2025
Care-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
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
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos.
CoRR, 2022
IEEE Access, 2022
2021
A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.
J. Heal. Informatics Res., 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
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
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