most citedA Cyberpunk 2077 perspective on the prediction and understanding of future technology

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Handwritten Digit Leakage from Smartphone Motion Sensors Across Unseen Users and Phone Models

Constantino Álvarez Casado, Erkka Rantahalvari, Matteo Pedone +6

Smartphone motion sensors support interactive applications, but their readings may also reveal touchscreen input beyond their intended use. Assuming known drawing intervals, we stu…

cs.HC2023★ 2 cited

A Cyberpunk 2077 perspective on the prediction and understanding of future technology

Miguel Bordallo López, Constantino Álvarez Casado

Science fiction and video games have long served as valuable tools for envisioning and inspiring future technological advancements. This position paper investigates the potential o…

cs.CV2023

Estimating exercise-induced fatigue from thermal facial images

Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen +1

Exercise-induced fatigue resulting from physical activity can be an early indicator of overtraining, illness, or other health issues. In this article, we present an automated metho…

cs.CV2023

Facial Kinship Verification from remote photoplethysmography

Xiaoting Wu, Xiaoyi Feng, Constantino Álvarez Casado +2

Facial Kinship Verification (FKV) aims at automatically determining whether two subjects have a kinship relation based on human faces. It has potential applications in finding miss…

eess.SP2023

Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes

Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone +3

Respiratory diseases remain a leading cause of mortality worldwide, highlighting the need for faster and more accurate diagnostic tools. This work presents a novel approach leverag…

cs.CV2023

Non-Contact Heart Rate Measurement from Deteriorated Videos

Nhi Nguyen, Le Nguyen, Constantino Álvarez Casado +2

Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can…