Georgios Pavlakos

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Mobility disabilities are prevalent in our ageing society and impede activities important for the independent living of elderly people and their quality of life. The goal of this work is to support human mobility and thus enforce fitness and vitality by developing intelligent robotic platforms designed to provide user-centred and natural support for(More)
We present a new framework for multimodal gesture recognition that is based on a two-pass fusion scheme. In this, we deal with a demanding Kinect-based multimodal dataset, which was introduced in a recent gesture recognition challenge. We employ multiple modalities , i.e., visual cues, such as colour and depth images, as well as audio, and we specifically(More)
This paper addresses the challenge of 3D human pose estimation from a single color image. Despite the general success of the end-to-end learning paradigm, top performing approaches employ a two-step solution consisting of a Convolutional Network (ConvNet) for 2D joint localization only and recover 3D pose by a subsequent optimization step. In this paper, we(More)
—We aim at developing an intelligent robotic platform that provides cognitive assistance and natural support in indoor environments to the elderly society and to individuals with moderate to mild walking impairment. Towards this end, we process data from audiovisual sensors and laser range scanners, acquired in experiments with patients in real life(More)
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