Published October 20, 2017
| Version v1
Conference paper
An Activity Description Language for Activity Recognition
Contributors
Others:
- Spatio-Temporal Activity Recognition Systems (STARS) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
Description
Activity recognition aims at recognizing and understanding the movements, actions, and objectives of mobile objects. These objects can be humans, animals, or simple artefacts. Many important and critical applications such as surveillance or health care require some form of (human) activity recognition. Existing languages can be used to describe models of activities, but they are difficult to master by non computer scientists (ex: doctors). In this paper, we present a new language dedicated to end users, to describe their activities. We call it ADeL (Activity Description Language). This language is intended to be part of a complete recognition system. Such a system has to be real time, reactive, correct, and dependable. We choose the synchronous approach because it respects these characteristics, it ensures determinism and safe parallel composition, and it allows verification of systems using model-checking. Relying on the synchronous approach, we supply our language with two complementary formal semantics and we provide it with two formats: textual and graphical. This paper focuses on the description of the ADeL language.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.inria.fr/hal-01649674
- URN
- urn:oai:HAL:hal-01649674v2
Origin repository
- Origin repository
- UNICA