Datasets and softwares
Datasets
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This dataset represents a real-life benchmark in the area of gait cycle recognition applications.
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This dataset represents a set of exercises in form of different sessions, which will be useful to design a dominant e-assistant for patients.
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This dataset represents physical activities. The sensors used for data acquisition consisted of three trackers. The sensor's placements is chosen to represent the human body motion.
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Medical Database for the Evaluation of Image and Signal Processing Algorithms
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The Face Time-Machine Database (FaceTiM) is a database for researchers working on Digital face ageing or face rejuvenation.
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This dataset contains many QoE Influence Factors (QoE IFs) and subjective Mean Opinion Scores(MOS). This dataset was collected during the PoQeMoN project where a crowd measurement platform was implemented to assess YouTube end user’s QoE in mobile environments (UMTS, HSPA, LTE, etc.).
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This work is proposed to describe and to share a subjective QoE dataset that assess YouTube video quality in controlled laboratory environment. This dataset was collected using the subjective Absolute Category Rate (ACR) method based on Mean Opinion Score (MOS) ratting score.
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This work is proposed to describe and to share a subjective QoE dataset that assess emotional factors of YouTube pltform users. This dataset is collected in a controlled laboratory environment using YouTube JavaScript player and Video camera as a sensor.
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This dataset was collected to implement context aware ambient assisted living robotic systems. This dataset is composed of replay of the most common activities of the daily living that can occur in a typical day at the main rooms of any apartment.
Softwares
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CerebMov tool allows the assessment and quantification of the movement of the walls of the third cerebral ventricles. It may facilitate diagnosis of brain diseases.
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Simulated Network Assisted by a Prediction Environment. It is a managed peer-to-peer network simulator for video on demand (VoD).
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Simulation Website of Fractal Decomposition for large-scale Optimization
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Hybrid Parallel platform image denoising.
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Cerebro is a hybrid platform that combines high-level causal and temporal reasoning with multi-modal probabilistic inferencing for context-aware human support in smart spaces. Its aim is to recognize everyday user activities in indoor domains, monitor their proper execution, and perform assistive actions, in the form of recommendations, alerts or device handling, in order to facilitate user's domestic tasks.
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O-Smart is an open source cloud computing platform that allows for developing reasoning services according to the SAAS model. The platform includes reasoning modules for context awareness, semantic discovery of services and dynamic orchestration of services.
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Smart-rules is a reactive reasoning platform based on ontologies Micro-concept, initially developed within the framework of the European SembySem project and extended within the framework of the Predykot and Web des Objets projects.
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It is a software platform composed of software agents for the real-time collection and transmission of sensor data to a central cloud consolidation system.
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Dataset VIdeo Annotation (Davia) is a graphical tool developed in Java-Swing to annotate sensor data from MPEG video sequences. This tool integrates data synchronization subprograms and allows to produce annotations of events with a precision of their contexts
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Ubistruct is an open source platform for developing and experimenting Ambient Assisted Living services. A strong emphasis is done arround ubiquitous robots as a key assistive technology in the ambient intelligence. To guarantee a maximum of interoperability between services, the implementation is based on the following technologies: REST, XMPP, JMS and DPWS
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UBISTRUCT Orchestrator is an integrated platform for the composition and dynamic selection of Assistive Services in an ambient intelligent environment
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It is a facial appearance simulation software (digital ageing and rejuvenation).