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Prognostics is a major activity in the field of prognostics and health management. It aims at increasing the reliability and safety of systems while reducing the maintenance cost by providing an estimate of the current health status and remaining useful life (RUL). Classical RUL estimation techniques are usually composed of different steps: estimations of a health indicator, degradation states, a...
We present a novel approach to automated estimation of agreement intensity levels from facial images. To this end, we employ the MAHNOB Mimicry database of subjects recorded during dyadic interactions, where the facial images are annotated in terms of agreement intensity levels using the Likert scale (strong disagreement, disagreement, neutral, agreement and strong agreement). Dynamic modelling of...
Prognostic of future health state relies on the estimation of the Remaining Useful Life (RUL) of physical systems or components based on their current health state. RUL estimation can be done by using three main approaches: model-based, experience-based and data-driven approaches. This paper deals with a data-driven prognostics method which is based on the transformation of the data provided by the...
Behavioral Signal Processing aims at automating behavioral coding schemes such as those prevalent in psychology and mental health research. This paper describes a method to automatically quantify the approach-and-avoidance (AA) behavior, described by ordinal labels manually assigned by experts using either video-only or video-with-audio. We propose a novel ordinal regression (OR) algorithm and its...
In this paper, we introduce a novel age estimation technique that combines Active Appearance Models (AAMs) and Support Vector Machines (SVMs), to dramatically improve the accuracy of age estimation over the current state-of-the-art techniques. In this method, characteristics of the input images, face image, are interpreted as feature vectors by AAMs, which are used to discriminate between childhood...
This paper presents a new approach to estimating the readability of handwritten text. The estimation task is posed as a regression problem. A novel support vector regression (SVR) system is used to estimate the recognition rate of a text recognizer on a given text. The estimated recognition rates are used to classify text as either readable or unreadable. Unreadable text can then be filtered out prior...
Port state control (PSC) inspection is the most important mechanism to ensure world marine safe. Recently, some SVM-based risk assessment systems have been presented in the world. They estimate the risk of each candidate ship based on its generic factors and history inspection factors to select high-risk one before conducting on-board PSC inspection. However, how to improve the performance of the...
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