Recherche

Afficher tous les résultats pour

Accueil

Personne

Daniel Gatica-Perez

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (110)

Page 4 sur 6

Modeling Dyadic and Group Impressions with Inter-Modal and Inter-Person Features

Daniel Gatica-Perez, Laurent Son Nguyen

This article proposes a novel feature-extraction framework for inferring impression personality traits, emergent leadership skills, communicative competence, and hiring decisions. The proposed framework extracts multimodal features, describing each partici ...

2018

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Smartphones enable understanding human behavior with activity recognition to support peoples daily lives. Prior studies focused on using inertial sensors to detect simple activities (sitting, walking, running, etc.) and were mostly conducted in homogeneous ...

Assoc Computing Machinery2023

Discovering places of interest in everyday life from smartphone data

Daniel Gatica-Perez

In this paper, a new framework to discover places-of-interest from multimodal mobile phone data is presented. Mobile phones have been used as sensors to obtain location information from users’ real lives. A place-of-interest is defined as a location where ...

Springer2013

Ambiance in Social Media Venues: Visual Cue Interpretation by Machines and Crowds

Daniel Gatica-Perez, Gülcan Can

We study the perception of ambiance of places captured in social media images by both machines and crowdworkers. This task is challenging due to the subjective nature of the ambiance construct as well as the large variety in layout, style, and visual chara ...

IEEE2018

Human Interaction Discovery in Smartphone Proximity Networks

Daniel Gatica-Perez

Since humans are fundamentally social beings and interact frequently with others in their daily life, understanding social context is of primary importance in building context-aware applications. In this paper, using smartphone Bluetooth as a proximity sen ...

Springer London Ltd2013

Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity

Daniel Gatica-Perez

Understanding the social context of eating is crucial for promoting healthy eating behaviors. Multimodal smartphone sensor data could provide valuable insights into eating behavior, particularly in mobile food diaries and mobile health apps. However, resea ...

Assoc Computing Machinery2023

Understanding Applicants' Reactions to Asynchronous Video Interviews through Self-Reports and Nonverbal Cues

Daniel Gatica-Perez, Skanda Muralidhar

Asynchronous video interviews (AVIs) are increasingly used by organizations in their hiring process. In this mode of interviewing, the applicants are asked to record their responses to predefined interview questions using a webcam via an online platform. A ...

ACM2020

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

Daniel Gatica-Perez, Jean-Marc Odobez, Rui Hu

We present a system for automatically extracting hieroglyph strokes from images of degraded ancient Maya codices. Our system adopts a region-based image segmentation framework. Multi-resolution super-pixels are first extracted to represent each image. A Su ...

Association for Computing Machinery2017

How Did Europe's Press Cover Covid-19 Vaccination News? A Five-Country Analysis

Daniel Gatica-Perez

Understanding how high-quality newspapers present and discuss major news plays a role towards tackling disinformation, as it contributes to the characterization of the full ecosystem in which information circulates. In this paper, we present an analysis of ...

Assoc Computing Machinery2022

Modeling semantic aspects for cross-media image indexing

Daniel Gatica-Perez, Florent Monay Michaud

To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content ...

2007

Embedding Motion in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filtering (PF) is now established as one of the most popular methods for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states, and the ...

2006

Capturing drinking and nightlife behaviours and their social and physical context with a smartphone application - investigation of users' experience and reactivity

Daniel Gatica-Perez, Darshan Santani

Background: Many addictive behaviours are influenced by the context in which they occur, but methods for simultaneously capturing the characteristics of a behaviour and its context are scarce. This study describes a smartphone application developed to docu ...

TAYLOR & FRANCIS LTD2020

Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition

Daniel Gatica-Perez, Dinesh Babu Jayagopi

In this paper we present a multimodal analysis of emergent leadership in small groups using audio-visual features and discuss our experience in designing and collecting a data corpus for this purpose. The ELEA Audio-Visual Synchronized corpus (ELEA AVS) wa ...

2013

Analyzing ancient Maya glyph collections with Contextual Shape Descriptors

Daniel Gatica-Perez, Jean-Marc Odobez, Edgar Roman Rangel

This paper presents an original approach for shape-based analysis of ancient Maya hieroglyphs based on an interdisciplinary collaboration between computer vision and archaeology. Our work is guided by realistic needs of archaeologists and scholars who crit ...

Springer US2011

DrinkSense: Characterizing Youth Drinking Behavior using Smartphones

Daniel Gatica-Perez, Darshan Santani

Alcohol consumption is the number one risk factor for morbidity and mortality among young people. In late adolescence and early adulthood, excessive drinking and intoxication are more common than in any other life period, increasing the risk of adverse phy ...

2018

Focus on People: Five Qestions from Human-Centered Computing

Daniel Gatica-Perez

A substantial body of research in multimodal interaction has studied how people naturally interact -face-to-face and through machinesand developed technology to analyze, support, and extend such forms of interaction. The talk will share personal experience ...

Assoc Computing Machinery2022

Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Human Activity Recognition (HAR) enables context-aware user experiences where mobile apps can alter content and interactions depending on user activities. Hence, smartphones have become valuable for HAR as they allow large, and diversified data collection. ...

Springer Nature2023

BookTubing Across Regions: Examining Differences based on Nonverbal and Verbal Cues

Daniel Gatica-Perez, Dinesh Babu Jayagopi

BookTubers are a rapidly growing community in YouTube who shares content related to books. Previous literature has addressed problems related to automatically analyzing opinions and mood of video logs (vlogs) as a generic category in YouTube. Unfortunately ...

ASSOC COMPUTING MACHINERY2019

Sensing Eating Events in Context: A Smartphone-Only Approach

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

While the task of automatically detecting eating events has been examined in prior work using various wearable devices, the use of smartphones as standalone devices to infer eating events remains an open issue. This paper proposes a framework that infers e ...

2022

Rapport with Virtual Agents: What do Human Social Cues and Personality Explain?

Daniel Gatica-Perez

Rapport has been recognized as an important aspect of relationship building. While rapport in the context of human-human interaction has been widely studied, how it can be established and maintained in human-agent interaction has been studied only recently ...

2017