• Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows 

      Banos, Oresti; Gálvez, Juan Manuel; Damas, Miguel; Guillén, Alberto; Herrera, Luis Javier; Pomares, Héctor; Rojas, Ignacio; Villalonga, Claudia (1) (Lecture Notes in Computer Science, 2019)
      The automatic recognition of physical activities typically involves various signal processing and machine learning steps used to transform raw sensor data into activity labels. One crucial step has to do with the segmentation ...
    • Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning 

      Banos, Oresti; Calatroni, Alberto; Damas, Miguel; Pomares, Héctor; Roggen, Daniel; Rojas, Ignacio; Villalonga, Claudia (1) (Springer, 2021)
      Recognizing human activities seamlessly and ubiquitously is now closer than ever given the myriad of sensors readily deployed on and around users. However, the training of recognition systems continues to be both time and ...