In this paper, we propose a new slippage degree estimation method, where the vision-based tactile sensor was used to measure multi-dimensional force and moment in contact with an object. We proposed a new method using a reference image to obtain the stick ratio. The reference image is defined as previous image from which the grasped object moves a certain distance while updating the images. We show that the proposed method can be successfully applied to the following situations, after the macroscopic slippage occurs, the moving direction of the grasped object changes, or a moment is applied.
This study evaluated the influence of different land-cover types on the overall water quality of streams in urban areas. To ensure national applicability of the results, this study encompassed ten major metropolitan areas in South Korea. Using cluster analysis, watersheds were classified into three land-cover types: Urban-dominated (URB), agriculture-dominated (AGR), and forest-dominated (FOR). For each land-cover type, factor analysis (FA) was used to ensure simple and feasible parameter selection for developing the minimum water quality index (WQImin). The chemical oxygen demand, fecal coliform (total coliform for FOR), and total nitrogen (nitrate-nitrogen for URB) were selected as key parameters for all land-cover types. Our results suggest that WQImin can minimize bias in water quality assessment by reducing redundancy among correlated parameters, resulting in better differentiation of pollution levels. Furthermore, the dominant land-cover type of watersheds, not only affects the level and causes of pollution, but also influences temporal patterns, including the long-term trends and seasonality, of stream water quality in urban areas in South Korea.
Surface electromyogram (sEMG) has been widely used for human interface techniques. In order to make these techniques more useful and practical, it is desired that human movement is perfectly perceived and exactly duplicated from sEMG. In this study, we applied independent component analysis (ICA) to sEMG signals. ICA is a powerful procedure for a multidimensional signal analysis and has been often used for the brain research recently. Four channel electrodes were placed over near flexor digitorum superficialis and flexor pollicis longus. Subjects flexed first finger to fourth finger one by one and sEMG signals were recorded. ICA enabled extracting the independent components related to each finger flexion from these signals. Later, we were able to identify the fingers by looking at these components.Furthermore, this indicated the possibility that analysis of sEMG using both ICA and system identification may be able to identify not only the finger number but flexion force of the finger as well.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.