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Publications associées (55)
A Multimodal Dataset for Automatic Edge-AI Cough Detection
David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic, Jérôme Paul Rémy Thevenot
Counting the number of times a patient coughs per day is an essential biomarker in determining treatment efficacy for novel antitussive therapies and personalizing patient care. There is a need for wearable devices that employ multimodal sensors to perform ...
Zenodo2023A framework for occupancy detection and tracking using floor-vibration signals
In sensed buildings, information related to occupant movement helps optimize important func-tionalities such as caregiving, energy management, and security enhancement. Typical sensing approaches for occupant tracking rely on mobile devices and cameras. Th ...
2022Corona discharge actuator as an active sound absorber under normal and oblique incidence
Hervé Lissek, Stanislav Sergeev, Thomas Humbert
In the majority of active sound absorbing systems, a conventional electrodynamic loudspeaker is used as a controlled source. However, particular situations may require an actuator that is more resistant to harsh environments, adjustable in shape, and light ...
2022Deep Learning Approaches for Auditory Perception in Robotics
Auditory perception is an essential part of a robotic system in Human-Robot Interaction (HRI), and creating an artificial auditory perception system that is on par with human has been a long-standing goal for researchers. In fact, this is a challenging res ...
EPFL2021Occupant-detection strategy using footstep-induced floor vibrations
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Identification of occupant presence and location inside buildings is essential to functional goals such as security, healthcare, and energy management. Floor-vibration measurements, induced by footstep impacts, provide a non-intrusive sensing method for oc ...
ASSOC COMPUTING MACHINERY2019