Alexander Gabel

Ostfalia University of Applied Sciences · Faculty of Computer Science

The mobile application RehaGoal app is presented for people with acquired and congenital brain damage who have difficulties with complex planning tasks. The development of the RehaGoal app was based on the Goal Management Training approach, which focuses on breaking down an overarching goal into sub-goals and manageable steps to achieve them. So fa...

Following severe cerebrovascular accidents, patients are often unable to dress themselves. Little is known about the persistence and treatment of this impairment. Study 1 followed 23 patients who were (1) completely dependent on others for help with dressing (2) for two weeks continually until their discharge from the rehabilitation unit. Study 2,...

Purpose Individuals with traumatic brain injuries (TBI) often experience executive function impairments that impact activities of daily living. Assistive technologies can help overcome these disabilities and Goal Management Training (GMT) provides an effective therapeutic approach for treating such impairments. To capture the benefits of GMT with a...

Digitization provides a huge potential for rehabilitation and to foster inclusion. To this aim also digital competencies of therapists and caregivers are of utter importance. In the context of an mHealth app addressing deficits in structured executions of plans and goal-directed bevaviour, an iterative approach to develop training activities is pre...

Die „RehaGoal App“ ist eine assistive Technologie zur Unterstützung von Menschen mit kognitiven Beeinträchtigungen im planerischen Denken und der Handlungsplanung. Dazu werden Handlungsabläufe aus dem Alltag der Betroffenen individuell in Schritte untergliedert und in einem block-basierten Editor in der Anwendung durch sogenannte Workflows abgebild...

mHealth applications provide a huge potential to integrate neuropsychological rehabilitation into the everyday life of patients with executive dysfunctions by supporting them in daily activities and achieving personal goals. In the context of intervention studies it is important to gain insight in the usage of these applications by patients as an a...

In order to enable social workers in visual programming for assistive technologies, concepts of visual block-based programming tools were modified and aligned to develop an assistive device. This device can be used to help people with intellectual impairments in implementing activities of daily life and the professional (re-) qualification into the...

The approach of using neural networks in the RoboCup humanoid league for ball detection is investigated in a case study at the RoboCup 2017 competition. A patch-based classification approach is used. Two different ConvNet architectures, the Inception v3 network by Google and AlexNet are evaluated in the context of a ROS-based architecture on a robo...

Zusammenfassung. Vorgestellt wird die mobile Anwendung RehaGoal App für Menschen mit erworbenen und angeborenen Hirnschädigungen, die Schwierigkeiten bei komplexen Planungsaufgaben haben. Für die Entwicklung der RehaGoal App wurde sich am Vorgehen des Goal Management Trainings orientiert, bei dem die Zerlegung eines übergeordneten Ziels in Teilziel...

To implement the principle of Privacy by Design mentioned in the European General Data Protection Regulation one important measurement stated there is pseudonymisation. Pseudonymous data is widely used in medical applications and is investigated e.g. for vehicular ad-hoc networks and Smart Grid. The concepts used there address a broad range of impo...

This team description paper presents the developments made by the joint team Hamburg Bit-Bots & WF-Wolves. We present new software approaches we programmed and evaluated, like the Dynamic Stack Decider (DSD), our advances in image processing and our improvements to the walking engine. Additionally the newly developed foot pressure sensors as well a...

The potential of digitalisation in healthcare based on mobile health, so-called mHealth applications, is considerable. On the other hand these solutions incorporate huge privacy risks. In the context of goal management training, a neuropsychological training used for the cognitive rehabilitation of executive dysfunction after a brain injury, the us...

Part 7: Mobility and Privacy

The domain name system (DNS) is often abused by criminals as resilient infrastructure for their network architecture. Examples for malicious activities based on these networks comprise e.g. phishing, click fraud, spam, command and control structure of botnets. Most of the proposed detection methods rely on machine learning based on complex feature...

Autonomous mobile robots can be found in a wide field of applications. Their types range from household robots over workshop robots to autonomous cars and many more. All of them undergo a number of testing steps during development, production and maintenance. This paper describes an approach to improve testing of robot behavior. It was inspired by...