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Combining novelty detectors to improve accelerometer-based fall detection.

, , , , and . Medical Biol. Eng. Comput., 55 (10): 1849-1858 (2017)

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Occlusion Management in Sequential Mean Field Monte Carlo Methods., , , and . IbPRIA, volume 6669 of Lecture Notes in Computer Science, page 444-451. Springer, (2011)Localization Systems for Older People in Rural Areas: A Global Vision., , , and . DCAI, volume 151 of Advances in Intelligent and Soft Computing, page 597-600. Springer, (2012)The Effect of Personalization on Smartphone-Based Fall Detectors., , , , and . Sensors, 16 (1): 117 (2016)An Agent-Based Simulator Applied to Teaching-Learning Process to Predict Sociometric Indices in Higher Education., , , , and . IEEE Trans. Learn. Technol., 13 (2): 246-258 (2020)Adaptive tracking algorithms to improve the use of computing resources., , , and . IET Comput. Vis., 7 (6): 415-424 (2013)Personalizable smartphone application for detecting falls., , , , and . BHI, page 169-172. IEEE, (2014)Designing Teaching Strategies with an Agent-Based Simulator., , , and . MS, volume 254 of Lecture Notes in Business Information Processing, page 176-185. Springer, (2016)Guidelines to Design Smartphone Applications for People with Intellectual Disability: A Practical Experience., , , , and . ISAmI, volume 219 of Advances in Intelligent Systems and Computing, page 65-69. Springer, (2013)Combining novelty detectors to improve accelerometer-based fall detection., , , , and . Medical Biol. Eng. Comput., 55 (10): 1849-1858 (2017)Mobile Phone-Based Fall Detectors: Ready for Real-World Scenarios?, , , and . PAAMS (Workshops), volume 365 of Communications in Computer and Information Science, page 453-459. Springer, (2013)