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2015 (9)
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17 documents, page 1 of 2

FPGA based traffic sign detection for automotive camera systems

Schwiegelshohn, Fynn; Gierke, Lars; Hubner, Michael (2015)
Projects: EC | RADIO (643892)

A Holistic Approach for Advancing Robots in Ambient Assisted Living Environments

Schwiegelshohn, Fynn; Wehner, Philipp; Rettkowski, Jens; Gohringer, Diana; Hubner, Michael; Keramidas, Georgios; Antonopoulos, Christos; Voros, Nikolaos S. (2015)
Projects: EC | RADIO (643892)

Real-time pedestrian detection on a xilinx zynq using the HOG algorithm

Rettkowski, Jens; Boutros, Andrew; Göhringer, Diana (2015)
Projects: EC | RADIO (643892)

Daily activity recognition based on meta-classification of low-level audio events

Giannakopoulos, Theodoros; Konstantopoulos, Stasinos (2017)
Projects: EC | RADIO (643892)
This paper presents a method for recognizing activities taking place in a home environment. Audio is recorded and analysed realtime, with all computation taking place on a low-cost Raspberry PI. In this way, data acquisition, low-level signal feature calculation, and low-level event extraction is performed without transferring any raw data out of the device. This first-level analysis produces a time-series of low-level audio events and their characteristics: the event type (e.g., "music") and...

Robots in Assisted Living Environments as an Unobtrusive, Efficient, Reliable and Modular Solution for Independent Ageing: The RADIO Perspective

Antonopoulos, Christos; Keramidas, Georgios; Voros, Nikolaos S.; Hübner, Michael; Göhringer, Diana; Dagioglou, Maria; Giannakopoulos, Theodore; Konstantopoulos, Stasinos; Karkaletsis, Vangelis (2015)
Projects: EC | RADIO (643892)
Demographic and epidemiologic transitions in Europe have brought a new health care paradigm where life expectancy is increasing as well as the need for long-term care. To meet the resulting challenge, European healthcare systems need to take full advantage of new opportunities offered by technical advancements in ICT. The RADIO project explores a novel approach to user acceptance and unobtrusiveness: an integrated smart home/assistant robot system where health monitoring equipment is an obvio...

Decision Making for Affective Agents in Assistive Environments

Konstantinos Tsiakas (2015)
Projects: EC | RADIO (643892)
In this paper, we discuss the Decision Making and Learning ability of Affective Agents to make human-like decisions. This work is in the context of Assistive Living Environments (ALE) applications, where an agent is capable of assisting a human in physical and cognitive rehabilitation through multimodal and adaptive interaction. The goal of this research is to investigate what role multimodality plays in producing a natural and effective interaction using Reinforcement Learning. We propose a ...

Short-term Recognition of Human Activities using Convolutional Neural Networks

M.Papakostas; T. Giannakopoulos; F. Makedon; V. Karkaletsis (2017)
Projects: EC | RADIO (643892)
This paper proposes a deep learning classification method for frame-wise recognition of human activities, using raw color (RGB) information. In particular, we present a Convolutional Neural Network (CNN) classification approach for recognising three basic motion activity classes, that cover the vast majority of human activities in the context of a home monitoring environment, namely: sitting, walking and standing up. A real-world fully annotated dataset has been compiled, in the context of an...

A ROS framework for audio-based activity recognition

Giannakopoulos, Theodoros; Siantikos, Georgios (2016)
Projects: EC | RADIO (643892)
Research on robot perception mostly focuses on visual information analytics. Audio-based perception is mostly based on speech-related information. However, non-verbal information of the audio channel can be equally important in the perception procedure, or at least play a complementary role. This paper presents a framework for audio signal analysis that utilizes the ROS architectural principles. Details on the design and implementation issues of this workflow are described, while classific...

A Low-cost Approach for Detecting Activities of Daily Living using Audio Information: A Use Case on Bathroom Activity Monitoring

Siantikos, Georgios; Giannakopoulos, Theodoros; Konstantopoulos, Stasinos (2016)
Projects: EC | RADIO (643892)
In this paper, we present an architecture for recognizing events related to activities of daily living in the context of a health monitoring environment. The proposed approach explores the integration of a Raspberry PI single-board PC both as an audio acquisition and analysis unit. A set of real-time feature extraction and classification procedures has been implemented and integrated on the Raspberry PI device, in order to provide continuous and online audio event recognition. In addition, a ...