Detection of Semantic Risk Situations in Lifelog Data for Improving Life of Frail People
Author:
Affiliation:
1. Université de Bordeaux, Talence, France
2. Université de Bordeaux, Bordeaux, France
3. Dublin City University, Dublin, Ireland
Funder
AAP 2019
French national ANRT grant
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3372278.3391931
Reference34 articles.
1. Blanchet Mickaël, 2017, Atlas des séniors et du grand âge en France. 100 cartes et graphiques pour analyser et comprendre, Rennes, Presses de lEHESP, 120 p.
2. The Biology of Aging and Frailty
3. GIS-based Spatial and Temporal Analysis of Aging-Involved Accidents: a Case Study of Three Counties in Florida
4. The Patient Who Falls
5. Improving long‐term management of epilepsy using a wearable multimodal seizure detection system
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1. Development of a Low-Power Touch-Based Lifelogging Processor;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-08
2. A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data;Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval;2022-06-27
3. A GRU Neural Network with attention mechanism for detection of risk situations on multimodal lifelog data;2021 International Conference on Content-Based Multimedia Indexing (CBMI);2021-06-28
4. Multimodal Sensor Data Analysis for Detection of Risk Situations of Fragile People in @home Environments;MultiMedia Modeling;2021
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