In the present paper we report on a recent effort that resulted in the establishment of a unique multimodal database, referred to as the PROMETHEUS database This database was created in support of research and development activities, performed within the European Commission FP7 PROMETHEUS project, aiming at the creation of a framework for monitoring and interpretation of human behaviours in unrestricted indoors and outdoors environments. In the present paper we discuss the design and the implementation of the audio part of the database and offer statistical information about the audio content. Specifically it contains single-person and multi-person scenarios, but also covers scenarios with interactions between groups of people The database ...
Automatic recognition of sound events can be valuable for efficient situation analysis of audio scen...
Rory Heffernan, ‘Adaptive Smart Environments: Detecting Human Behaviour from Multimodal Observation’...
In this report we analyze state-of-the-art algorithms for human monitoring in generic environments a...
In the present paper we report on a recent effort that resulted in the establishment of a unique mul...
The present paper describes the construction of a multimodal database, referred to as the PROMETHEUS...
The multi-modal multi-sensor PROMETHEUS database was created in support of research and development ...
The multi-modal multi-sensor PROMETHEUS database was created in support of research and development ...
The on-going EU funded project Prometheus (FP7-214901) aims at establishing a general framework whic...
This paper describes a corpus consisting of audio data for automatic space monitoring based solely o...
Multimodal interactions in ambient assisted living environments require human behaviour to be recogn...
Abstract. Dealing with methods of Human-Robot-Interaction and using a real mobile robot, stable meth...
We determine hazards within a smart house environment using an emotive computing framework. Represen...
Automatic recognition of sound events can be valuable for efficient situation analysis of audio scen...
In this paper we present (1) a processing architecture used to collect multi-modal sensor data, both...
There is a rising interest in monitoring and improving human well-being at home using different type...
Automatic recognition of sound events can be valuable for efficient situation analysis of audio scen...
Rory Heffernan, ‘Adaptive Smart Environments: Detecting Human Behaviour from Multimodal Observation’...
In this report we analyze state-of-the-art algorithms for human monitoring in generic environments a...
In the present paper we report on a recent effort that resulted in the establishment of a unique mul...
The present paper describes the construction of a multimodal database, referred to as the PROMETHEUS...
The multi-modal multi-sensor PROMETHEUS database was created in support of research and development ...
The multi-modal multi-sensor PROMETHEUS database was created in support of research and development ...
The on-going EU funded project Prometheus (FP7-214901) aims at establishing a general framework whic...
This paper describes a corpus consisting of audio data for automatic space monitoring based solely o...
Multimodal interactions in ambient assisted living environments require human behaviour to be recogn...
Abstract. Dealing with methods of Human-Robot-Interaction and using a real mobile robot, stable meth...
We determine hazards within a smart house environment using an emotive computing framework. Represen...
Automatic recognition of sound events can be valuable for efficient situation analysis of audio scen...
In this paper we present (1) a processing architecture used to collect multi-modal sensor data, both...
There is a rising interest in monitoring and improving human well-being at home using different type...
Automatic recognition of sound events can be valuable for efficient situation analysis of audio scen...
Rory Heffernan, ‘Adaptive Smart Environments: Detecting Human Behaviour from Multimodal Observation’...
In this report we analyze state-of-the-art algorithms for human monitoring in generic environments a...