Recent Submissions

  • Multibody dynamics for human-like locomotion 

    Acevedo Alvarado, Mario; Ponce, Hiram (Elsevier, 2019)
    Multibody dynamics has been a fundamental tool for modeling, simulation and design of human-like locomotion systems. Either in the prosthetic and orthotics sector to develop devices for improvement or restoration of mobility, ...
  • Approaching fall classification using the UP-Fall detection dataset : analysis and results from an international competition 

    Ponce, Hiram; Martinez-Villaseñor, Lourdes (Springer, 2020)
    This chapter presents the results of the Challenge UP – Multimodal Fall Detection competition that was held during the 2019 International Joint Conference on Neural Networks (IJCNN 2019). This competition lies on the fall ...
  • Deep learning for multimodal fall detection 

    Martinez-Villaseñor, Lourdes; Ponce, Hiram; Perez-Daniel, Karina Ruby (Institute of Electrical and Electronics Engineers Inc., 2020)
    Fall detection systems can help providing quick assistance of the person diminishing the severity of the consequences of a fall. Real-time fall detection is important to decrease fear and time that a person remains laying ...
  • Development of fast and reliable nature-inspired computing for supervised learning in high-dimensional data 

    Ponce, Hiram; González Mora, José Guillermo; Morales Olvera, Elizabeth (Springer, 2020)
    Machine learning and data mining tasks in big data involve different nature of inputs that typically exhibit high dimensionality, e.g. more than 1,000 features, far from current acceptable scales computing in one machine. ...
  • The power of natural inspiration in control systems 

    Ponce, Hiram (2016)
    Throughout history, nature has always been an inspiration for mankind. It is not an exaggeration to say that almost every human invention, from engineering to social sciences, has been an attempt to replicate nature. In ...