most citedStress Detection Using Wearable Physiological and Sociometric Sensors

208 citations · 272 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO202616 cited

Multi-modal panoramic 3D outdoor datasets for place categorization

Hojung Jung, Yuki Oto, Oscar M. Mozos +2

We present two multi-modal panoramic 3D outdoor (MPO) datasets for semantic place categorization with six categories: forest, coast, residential area, urban area and indoor/outdoor…

cs.LG2026208 cited

Stress Detection Using Wearable Physiological and Sociometric Sensors

Oscar Martinez Mozos, Virginia Sandulescu, Sally Andrews +4

Stress remains a significant social problem for individuals in modern societies. This paper presents a machine learning approach for the automatic detection of stress of people in…

cs.RO20266 cited

Reasoning Systems for Semantic Navigation in Mobile Robots

Jonathan Crespo, Ramón Barber, O. M. Mozos +2

Semantic navigation is the navigation paradigm in which environmental semantic concepts and their relationships are taken into account to plan the route of a mobile robot. This par…

cs.CV2026

Learning Geometric and Photometric Features from Panoramic LiDAR Scans for Outdoor Place Categorization

Kazuto Nakashima, Hojung Jung, Yuki Oto +3

Semantic place categorization, which is one of the essential tasks for autonomous robots and vehicles, allows them to have capabilities of self-decision and navigation in unfamilia…

cs.RO202626 cited

Predictive and adaptive maps for long-term visual navigation in changing environments

Lucie Halodova, Eliska Dvorakova, Filip Majer +4

In this paper, we compare different map management techniques for long-term visual navigation in changing environments. In this scenario, the navigation system needs to continuousl…

cs.LG202611 cited

Monitoring and Prediction of Mood in Elderly People during Daily Life Activities

Daniel Bautista-Salinas, Joaquín Roca González, Inmaculada Méndez +1

We present an intelligent wearable system to monitor and predict mood states of elderly people during their daily life activities. Our system is composed of a wristband to record d…