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ORCID: https://orcid.org/0000-0003-3851-9038
(2012).
Gesture recognition using mobile phone's inertial sensors.
En: "Workshop on User-Centric Technologies and Applications", 30/04/2012 - 30/04/2012, Salamanca, Spain. pp. 173-184.
https://doi.org/10.1007/978-3-642-28765-7_21.
| Título: | Gesture recognition using mobile phone's inertial sensors |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | Workshop on User-Centric Technologies and Applications |
| Fechas del Evento: | 30/04/2012 - 30/04/2012 |
| Lugar del Evento: | Salamanca, Spain |
| Título del Libro: | Workshop on User-Centric Technologies and Applications |
| Fecha: | 2012 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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The availability of inertial sensors embedded in mobile devices has enabled a new type of interaction based on the movements or “gestures” made by the users when holding the device. In this paper we propose a gesture recognition system for mobile devices based on accelerometer and gyroscope measurements. The system is capable of recognizing a set of predefined gestures in a user-independent way, without the need of a training phase. Furthermore, it was designed to be executed in real-time in resource-constrained devices, and therefore has a low computational complexity. The performance of the system is evaluated offline using a dataset of gestures, and also online, through some user tests with the system running in a smart phone.
| ID de Registro: | 20952 |
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| Identificador DC: | https://oa.upm.es/20952/ |
| Identificador OAI: | oai:oa.upm.es:20952 |
| Identificador DOI: | 10.1007/978-3-642-28765-7_21 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 14 Oct 2013 18:00 |
| Ultima Modificación: | 21 Mar 2023 17:16 |
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