Enrique Antonio de la Cal-Marin

Associate Professor

University of Oviedo

Spain

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About

Enrique Antonio de la Cal-Marin is an Associate Professor at Universidad de Oviedo, Spain. His research interests focus on vital sign analysis, wearable technology for fall detection, and time series data processing. Recent articles reflect his contributions to methodologies for stress prediction, activity recognition using wearable devices, and advances in machine learning applications for healthcare.

Articles (10)

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2025

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (3)

VICTOR MANUEL GONZALEZ SUAREZ

Assciate Professor

University of Oviedo

SPAIN

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José R. Villar

University of Oviedo

SPAIN

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Qing Tan

Athabasca University

CANADA

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Enrique Antonio de la Cal-Marin

Research Interests

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Articles (10)

Cross-contextual stress prediction: Simple methodology for comparing features and sample domain adaptation techniques in vital sign analysis

A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices

Improving wearable-based fall detection with unsupervised learning

Towards effective detection of elderly falls with CNN-LSTM neural networks

Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges

Mixing user-centered and generalized models for Fall Detection

An ensemble solution for multivariate time series clustering

Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification

Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection

Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks

Collaborators (3)

VICTOR MANUEL GONZALEZ SUAREZ

José R. Villar

Qing Tan

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