Adrián Núñez-Marcos

TL;DR: This work proposes a vision-based solution using Convolutional Neural Networks to decide if a sequence of frames contains a person falling, and uses optical flow images as input to the networks followed by a novel three-step training phase.

TL;DR: The paradigm of Smart Cities arises as a response to the goal of creating the city of the future, where the well-being and rights of their citizens are guaranteed, industry and urban planning is assessed from an environmental and sustainable viewpoint.

TL;DR: Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to communicate on a daily basis as mentioned in this paper . But the communication with hearing people still faces some barriers, mainly because of the scarce knowledge about SLs among hearing people.

TL;DR: This work proposes to add external knowledge to improve the performance of purely vision-based systems and evaluates its approach on the EGTEA Gaze+ dataset, demonstrating that the use of external knowledge improves the recognition of actions never seen by the detectors.

TL;DR: This chapter proposes various of those techniques focused on the exploitation of intrinsic egocentric cues that could help the elderly live independently for as long as possible or to predict mental health issues that could seriously harm their independence.