Now showing items 1-6 of 6

    • A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors 

      García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (MDPI AG, 2020-04-13)
      [Abstract] In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. ...
    • Deep learning models for real-life human activity recognition from smartphone sensor data 

      García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (Elsevier, 2023-12)
      [Abstract]: Nowadays, the field of human activity recognition (HAR) is a remarkably hot topic within the scientific community. Given the low cost, ease of use and high accuracy of the sensors from different wearable devices ...
    • DSLXpert: LLM-driven Generic DSL Code Generation 

      García-González, Daniel; Lamas, Víctor; Rodríguez Luaces, Miguel (Association for Computing Machinery, Inc, 2024)
      [Abstract]: Nowadays, large language models (LLMs) are an extremely useful and fast tool to complement and help in many jobs and current problems. However, there are cases where a pretty specific vocabulary is used in which ...
    • Human activity recognition: new approaches based on machine learning and deep learning 

      García-González, Daniel (2023)
      [Abstract] Currently, the scientific community is giving significant attention to the field of human activity recognition (HAR), which has gained remarkable prominence as a topic of discussion. Since the irruption of ...
    • Introducing a Human Activity Recognition Dataset Gathered on Real-Life Conditions 

      García-González, Daniel; Fernández-Blanco, Enrique; Rivero, Daniel; Rodríguez Luaces, Miguel (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Human activity recognition (HAR) has garnered significant scientific interest in recent years. The widespread use of smartphones enabled convenient and cost-effective data collection, eliminating the need for ...
    • New machine learning approaches for real-life human activity recognition using smartphone sensor-based data 

      García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (Elsevier B.V., 2023)
      [Abstract]: In recent years, mainly due to the application of smartphones in this area, research in human activity recognition (HAR) has shown a continuous and steady growth. Thanks to its wide range of sensors, its size, ...