TY - CHAP A1 - Szymanski, Mateusz A1 - van de Sand, Ron A1 - Tauscher, Esther A1 - Rieckmann, Olaf A1 - Stolpmann, Alexander T1 - Concept Towards Segmenting Arm Areas for Robot-Based Dermatological In Vivo Measurements T2 - 2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021) N2 - Dermatological in vivo measurements are used for various purposes, e.g. health care, development and testing of skin care products or claim support in marketing. Especially for the last two purposes, in vivo measurements are extensive due to the quantity and repeatability of the measurement series. Furthermore, they are performed manually and therefore represent a nonnegligible time and cost factor. A solution to this is the implementation of collaborative robotics for the measurement execution. Due to various body shapes and surface conditions, common static control procedures are not applicable. To solve this problem, spatial information obtained from a stereoscopic camera can be integrated into the robot control process. However, the designated measurement area has to be detected and the spatial information processed. Therefore the authors propose a concept towards segmenting arm areas through a CNN-based object detector and their further processing to perform robot-based in vivo measurements. The paper gives an overview of the utilization of RGB-D images in 2D object detectors and describes the selection of a suitable model for the application. Furthermore the creation, annotation and augmentation of a custom dataset is presented. T3 - TH Wildau Engineering and Natural Sciences Proceedings - 1 KW - object detection KW - convolutional neural network KW - RGB-D image Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-14986 SP - 217 EP - 228 PB - TIB Open Publishing CY - Hannover ER -