{"title":"Gesundheit","description":"","products":[{"product_id":"978-3-95900-381-0","title":"978-3-95900-381-0","description":"\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std ExtraBold',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eHand Gesture and Pose Recognition using Deep Learning for Hygiene Monitoring\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eAutor*in: Armin Lennart Dietz\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eISBN: 978-3-95900-381-0\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eDissertation, Leibniz Universität Hannover, 2019\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eHerausgeber*in der Reihe: Eduard Reithmeier\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eBand-Nr.: IMR 04\/2019\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eUmfang: 152 Seiten, 49 Abbildungen\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: 115%;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Rotis SansSerif Std',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-fareast-language: DE;\"\u003eSchlagworte: Hand hygiene monitoring, disinfection, vision-based system, gesture, action, pose recognition, hand detection, deep learning, Handhygiene Monitoring\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-bottom-alt: auto; text-align: justify; line-height: 115%;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eKurzfassung: Hand hygiene is widely considered to be the most effective measure to prevent healthcare associated infections. The World Health Organization recommends a hand rubbing process, consisting of nine hand gestures, to ensure that all areas of the hands are disinfected. Nevertheless, compliance with these recommended instructions for hand hygiene disinfection is low.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-bottom-alt: auto; text-align: justify; line-height: 115%;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eIn this thesis, an automated optical system to monitor the hand hygiene disinfection process using deep learning is developed. The system consists of\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003ea single depth sensor and three deep neural networks, which are the HandNet, GestureNet and PoseNet. The HandNet is developed to segment individual hand regions from interacting hands and from background scenes. To obtain substantial training data with labeled depth images, a method is presented to automatically assign each image pixel to a class of three hand regions for each hand or to a background class. Image transformations and background swaps further increase the variation of the training data. Based on the segmented image data, the nine gestures of the hand rubbing process and an additional error gesture are classified by the GestureNet. An approach to localize disinfected regions on the hands is proposed. The PoseNet is trained with synthetic depth data of hands and corresponding 3D positions of hand joints. The joints’ positions are then predicted based on depth data and two synthetic 3D hand models are fitted in. By detecting and observing contacted regions of the hand models over time, the assumed local degree of disinfection is visualized.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-bottom-alt: auto; text-align: justify; line-height: 115%;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eMore than 180 000 images of 39 different subjects are recorded to train and evaluate the neural networks. The results show that fine details of the hand regions are robustly segmented from highly occluded hands and cluttered background scenes. It is also shown, that the data augmentation method is essential for a robust hand detection. The influence of different input modalities to the GestureNet is evaluated quantitatively and qualitatively. The\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003eresults show that segmentation masks from the HandNet in addition to the depth data as input to the GestureNet increases the robustness of predictions. For the classification of the ten gestures from a single image, an accuracy of 98% for correct predictions is achieved. It is further shown that the localization of disinfected hand areas is feasible. The presented monitoring system is thus able to inform the user online about the state of disinfection.\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-bottom-alt: auto; text-align: justify; line-height: 115%;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003e \u003c\/span\u003e\u003c\/p\u003e","brand":"TEWISS Verlag","offers":[{"title":"Default Title","offer_id":51726289404232,"sku":"978-3-95900-381-0","price":38.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0815\/3448\/4808\/files\/978-3-95900-381-0.jpg?v=1760700133"},{"product_id":"978-3-69030-136-7","title":"978-3-69030-136-7","description":"\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std ExtraBold',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eDevelopment of a multiphasic material with continuous gradient for tissue engineering of the osteotendinous and myotendinous junctions\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eAutor*in: Nicolas Rivoallan\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eISBN: 978-3-69030-136-7\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eDissertation, Leibniz Universität Hannover, 2025\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eHerausgeber*in der Reihe: Birgit Glasmacher\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eBand-Nr.: IMP 04\/2025\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eUmfang: 266 Seiten, 114 Abbildungen\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: 115%;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Rotis SansSerif Std',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-fareast-language: DE;\"\u003eSchlagworte: Tissue engineering, musculoskeletal system, electrospinning, photolithography\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-bottom-alt: auto; text-align: justify; line-height: 115%;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eKurzfassung: Tendons link muscle to bone, enabling movement, but heal poorly. To improve repair, researchers are developing engineered grafts mimicking bone-tendon-muscle interfaces. Unique structures at entheses and myotendinous junctions can guide cell differentiation via topographical and mechanical cues. Honeycomb scaffolds induced bone-like differentiation, while aligned fibers promoted tendon fate. A gradient scaffold with three zones (bone, tendon, muscle) supported initial co-culture, though high-proliferation cell lines affected outcomes. Future work involves optimizing scaffold design and using primary or stem cells for full tissue integration.\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"TEWISS Verlag","offers":[{"title":"Default Title","offer_id":51868167995720,"sku":"978-3-69030-136-7","price":38.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0815\/3448\/4808\/files\/978-3-69030-136-7_25f9df52-8a61-4f9c-8ace-9dbce9ed0a14.jpg?v=1761651791"},{"product_id":"978-3-95900-220-2","title":"978-3-95900-220-2","description":"\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std ExtraBold',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eLaserinduzierte Stimulation der Cochlea\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eAutor*in: Nicole Kallweit\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eISBN: 978-3-95900-220-2\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eDissertation, Leibniz Universität Hannover, 2018\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eHerausgeber*in der Reihe: Dietmar Kracht, Ludger Overmeyer\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eBand-Nr.: LZH 1\/2018\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eUmfang: 168 Seiten, 67 Abbildungen\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: 115%;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Rotis SansSerif Std',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin; mso-fareast-language: DE;\"\u003eSchlagworte: Optoakustik, Laser, optische Stimulation, Cochlea\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eKurzfassung: \u003cspan style=\"mso-spacerun: yes;\"\u003e \u003c\/span\u003eDie optische Stimulation der Cochlea wird als eine potenzielle Alternative zu der konventionellen Behandlung der Schallempfindungsschwerhörigkeit mit einem Cochlea-Implantat (CI) diskutiert. Durch die Fokussierung von Laserlicht soll ein kleineres Anregungsvolumen bestrahlt und somit eine bessere Frequenzauflösung als bei einem CI realisiert werden. Die intracochleäre Stimulation mittels Licht basiert dabei entweder auf der direkten Stimulation der Neurone oder auf Basis der Optoakustik, bei der eine Schallwelle im Innenohr generiert und die Basilarmembran aktiv ausgelenkt wird. Da eine auditorische Antwort in vorherigen Studien ausschließlich bei hörenden Tieren detektiert werden konnte, besteht die Hypothese, dass der optoakustische Effekt der vorherrschende Mechanismus ist. Um dies zu überprüfen, wurden in vivo, Temperatur- und Druckmessungen durchgeführt. Die Ergebnisse bestätigen die Hypothese, dass die Optoakustik der dominierende Stimulationsmechanismus ist. Da die optische Stimulation im Gegensatz zu einem CI somit ausschließlich mit intakten Haarzellen funktioniert, ist es denkbar, die laserbasierte Stimulation als kombinierte elektrisch-optische Stimulation zu verwenden.\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"TEWISS Verlag","offers":[{"title":"Default Title","offer_id":52433983013192,"sku":"978-3-95900-220-2","price":44.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0815\/3448\/4808\/files\/978-3-95900-220-2.jpg?v=1770380110"},{"product_id":"978-3-95900-158-8","title":"978-3-95900-158-8","description":"\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std ExtraBold',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003e16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eISBN: 978-3-95900-158-8\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eDissertation, Leibniz Universität Hannover, 2017\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eHerausgeber*in der Reihe: Jessica Burgner-Kahrs, Lüder A. Kahrs, Vincent Modes, M. Taha Chikhaoui, Arya Nabavi\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eBand-Nr.: Tagungsband, Hannover, 5.-7.10.2017\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-top: 0cm; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eUmfang: 303 Seiten\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eKurzfassung: \u003cspan style=\"mso-spacerun: yes;\"\u003e \u003c\/span\u003eDie Computer- und Roboterassisierte Chirurgie ist inzwischen ein etabliertes Forschungsfeld der Medizintechnik. Anlässlich der 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassiserten Chirurgie in Hannover diskutieren Ingenieur*innen, Informatiker*innen und Chirurg*innen rezente Methoden und Erkenntnisse.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Rotis SansSerif Std',sans-serif; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;\"\u003eDieses Buch fasst die wissenschaftlichen Beiträge der Expert*innen auf den Gebieten Chirurgische Planung, Modellierung und Simulation, Bildverarbeitung, Visualisierung, Robotik und Navigation, Assistenzsysteme und intelligente OP-Technik, Workflowanalyse, Wissensbasierte Systeme und Entscheidungsunterstützung zusammen.\u003c\/span\u003e\u003c\/p\u003e","brand":"TEWISS Verlag","offers":[{"title":"Default Title","offer_id":52450792866120,"sku":"978-3-95900-158-8","price":45.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0815\/3448\/4808\/files\/978-3-95900-158-8.jpg?v=1770714958"}],"url":"https:\/\/www.tewiss-verlag.de\/collections\/gesundheit.oembed","provider":"TEWISS Verlag","version":"1.0","type":"link"}