Info
Challenges and Trends in Multimodal Fall Detection for Healthcare / / edited by Hiram Ponce, Lourdes Martínez-Villaseñor, Jorge Brieva, Ernesto Moya-Albor
| Challenges and Trends in Multimodal Fall Detection for Healthcare / / edited by Hiram Ponce, Lourdes Martínez-Villaseñor, Jorge Brieva, Ernesto Moya-Albor |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 259 p.) |
| Disciplina |
610.28
610.285 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Biomedical engineering
Computational intelligence Biomechanics Biomedical Engineering and Bioengineering Computational Intelligence |
| ISBN | 3-030-38748-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Challenges and Solutions on Human Fall Detection and Classification -- Open Source Implementation for Fall Classification and Fall Detection Systems -- Detecting Human Activities based on a Multimodal Sensor Data Set using a Bidirectional Long Short-Term Memory Model: A Case Study -- Approaching Fall Classification using the UP-Fall Detection Dataset: Analysis and Results from an International Competition -- Reviews and Trends on Multimodal Healthcare -- A Novel Approach for Human Fall Detection and Fall Risk Assessment. |
| Record Nr. | UNINA-9910373903303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT / / edited by Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor, Ernesto Moya-Albor
| Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT / / edited by Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor, Ernesto Moya-Albor |
| Autore | Ponce Hiram |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (255 pages) |
| Disciplina | 620.00285 |
| Altri autori (Persone) |
BrievaJorge
Lozada-FloresOctavio Martínez-VillaseñorLourdes Moya-AlborErnesto |
| Collana | Studies in Big Data |
| Soggetto topico |
Engineering - Data processing
Computational intelligence Big data Artificial intelligence Data Engineering Computational Intelligence Big Data Artificial Intelligence |
| ISBN | 3-031-54277-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contactless Video-based Vital-sign Measurement Methods: A Data-driven Review -- Enhancing STEAM in Education 4.0: A Review of Data-driven Technological Improvements -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future. |
| Record Nr. | UNINA-9910851990303321 |
Ponce Hiram
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||