Manuel Gil-Martín

Orcid: 0000-0002-4285-6224

According to our database1, Manuel Gil-Martín authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Parkinson's Disease Detection Through Inertial Signals and Posture Insights.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

A Comprehensive Analysis of Parkinson's Disease Detection Through Inertial Signal Processing.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Sign Language Motion Generation from Sign Characteristics.
Sensors, December, 2023

Reducing the Impact of Sensor Orientation Variability in Human Activity Recognition Using a Consistent Reference System.
Sensors, July, 2023

Sign Language Dataset for Automatic Motion Generation.
J. Imaging, 2023

Signal and Visual Approaches for Parkinson's Disease Detection from Spiral Drawings.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

Multimodal and Multilingual Olfactory Matching based on Contrastive Learning.
Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023

Exploring Video Transformers and Automatic Segment Selection for Memorability Prediction.
Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023

Interpreting Sign Language Recognition using Transformers and MediaPipe Landmarks.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Video Memorability Prediction From Jointly-learnt Semantic and Visual Features.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022
Robust Motion Biomarker for Alcohol Consumption.
IEEE Instrum. Meas. Mag., 2022

2021
Scoring Performance on the Y-Balance Test Using a Deep Learning Approach.
Sensors, 2021

Time Analysis in Human Activity Recognition.
Neural Process. Lett., 2021

2020
Robust Biometrics from Motion Wearable Sensors Using a D-vector Approach.
Neural Process. Lett., 2020

Improving physical activity recognition using a new deep learning architecture and post-processing techniques.
Eng. Appl. Artif. Intell., 2020

Human activity recognition adapted to the type of movement.
Comput. Electr. Eng., 2020

2019
Estimating gravity component from accelerometers.
IEEE Instrum. Meas. Mag., 2019

Classification of epileptic EEG recordings using signal transforms and convolutional neural networks.
Comput. Biol. Medicine, 2019

2018
Robust Human Activity Recognition using smartwatches and smartphones.
Eng. Appl. Artif. Intell., 2018


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