The ability to compute a quality index for manipulation tasks, in different configurations, has been widely used robotics. However, it is poorly explored human and physical human-robot collaboration (pHRC). Existing works that evaluate efficiency of often focus only on heurisitic-based, biomechanics or ergonomics methods/tasks. Complementarity between these performance features allows better ev...

QT21 (see http://www.qt21.eu/) is an EU-funded project with several goals related to machine translation. This paper relates to the QT21 goal of "improved evaluation ... informed by human translators", using a framework that harmonizes MQM (Multidimensional Quality Metrics) and DQF (Dynamic Quality Framework). The purpose of the paper, which expresses my personal views, is to obtain feedback on...

OBJECTIVE The article proposes a set of metrics for evaluation of patient performance in physical therapy exercises. METHODS Taxonomy is employed that classifies the metrics into quantitative and qualitative categories, based on the level of abstraction of the captured motion sequences. Further, the quantitative metrics are classified into model-less and model-based metrics, in reference to w...

Introduction: In the current study, we compared h5-index provided by Google Scholar (GS), impact factor (IF) provided by web of sciences (WOS), and SCImago journal rank indicator (SJR) provided by SCOPUS for quality assessment of nuclear medicine journals. Methods: 2013 h5-index, 2012 IF, and 2011 SJR of nuclear medicine journals were extracted from their publishers namely GS, WOS, and SCOPUS....

Evaluation plays a crucial role in development of Machine translation systems. In order to judge the quality of an existing MT system i.e. if the translated output is of human translation quality or not, various automatic metrics exist. We here present the implementation results of different metrics when used on Hindi language along with their comparisons, illustrating how effective are these m...