Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications

Autor: Iosune Salinas-Bueno, Maria Francesca Roig-Maimó, Pau Martínez-Bueso, Katia San-Sebastián-Fernández, Javier Varona, Ramon Mas-Sansó

Publikováno v: Sensors, Vol 21, Iss 6, p 2237 (2021)

Vision-based interfaces are used for monitoring human motion. In particular, camera-based head-trackers interpret the movement of the user’s head for interacting with devices. Neck pain is one of the most important musculoskeletal conditions in pre

Externí odkaz: https://doaj.org/article/4a18dcc94981454fb57467a79d270b14

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A Robust Camera-Based Interface for Mobile Entertainment

Autor: Maria Francesca Roig-Maimó, Cristina Manresa-Yee, Javier Varona

Publikováno v: Sensors, Vol 16, Iss 2, p 254 (2016)

Camera-based interfaces in mobile devices are starting to be used in games and apps, but few works have evaluated them in terms of usability or user perception. Due to the changing nature of mobile contexts, this evaluation requires extensive studies

Externí odkaz: https://doaj.org/article/d9bce65fcadf4d1e8de07f8ec2a3fb9b

Diseño y construcción de un head-tracker para aplicaciones de sonido inmersivo

Autor: Castillo Chueca, Sergio

Publikováno v: Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname

El Trabajo Fin de Grado consiste en el desarrollo de un sistema Head-Tracker de bajo coste. Estos sistemas determinan la posición y orientación de la cabeza del usuario, facilitando la interactividad en aplicaciones de realidad virtual. Graduado o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::681738e92a0e0803d7028d4639409718
https://hdl.handle.net/2454/37567

Collateral effects of the Kalman Filter on the Throughput of a Head-Tracker for Mobile Devices

Autor: Ramon Mas-Sansó, Maria Francesca Roig-Maimó

Publikováno v: Computer Science Research Notes.

We have developed an image-based head-tracker interface for mobile devices that uses the information of the front camera to detect and track the user’s nose position and translate its movements into a pointing metaphor to the device. However, as al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5545a52e0d7b5adda82a85a6f3c67554
https://doi.org/10.24132/csrn.2019.2901.1.14