About the lab

The AmI lab is involved in the development of assistance technologies and systems. Here topics from the field of demographic change, learning and education as well as support of people in their professional life are dealt with.

Featured projects (7)

Project
The focus of the project is a preparation-free functionalized nursing bed to support patients, relatives and nurses in the field of home and inpatient care. Negative state changes of the patient should be detected early by the system in order to initiate countermeasures in a timely manner.
Project
Das Projekt "OurPuppet" zielt auf die Unterstützung pflegender Angehöriger (informell Pflegende) durch den Einsatz einer innovativen Mensch-Technik-Interaktion. Bei "OurPuppet" handelt es sich um eine sensorbasierte Puppe, die emotionale und gesundheitliche Zustände des Pflegebedürftigen erfasst, Notfälle erkennt und bestimmte Aktivitäten bei diesem anregt. Die Puppe soll in Stress- oder Krisensituationen beruhigend auf die zu Pflegenden wirken und den Angehörigen Unterstützung bieten. Das Gesamtsystem wird aus der „Puppe“ mit integrierter Sensorik und Aktorik sowie einer festinstallierten Umgebungshardware (Smart-Home-Gateway) bestehen. https://www.ourpuppet.de/
Project
"KneTex" is an EFRE (EFRE 0801285) funded project (start 01/2019) The goal of this project is to develop a sensor-based gymnastic pants / bandage that will quantify the frequency of occurrence of a "giving way" after anterior cruciate ligament replacement in order to be able to compare the data with the subjectively perceived events. The idea is to support the patients and therapists in rehabilitation after anterior cruciate ligament replacement with a data-based, practical measuring instrument in order to be able to provide feedback on movement patterns and muscular activity during the training and rehabilitation process. Possible areas of application of such sensor-based functional trousers are rehabilitation, physiotherapy, everyday work, sports, leisure.
Project
The aim is to compensate any cognitive and physical deficits of seniors and to provide them with important information about the current traffic situation, especially in complex traffic situations. For this purpose, the current traffic situation must be recorded and compared with empirical values. Based on these results, dangers are identified and passed on to the user. The interface to the cyclist is particularly important: it must ensure that the instructions are quickly understood by the user without distracting him or her.
Project
This project's goal is aimed towards enhancing the qualifications and support of employees in concrete work contexts. The improvements for support are provided through complex combination and integration of various sensors, human-computer-interfaces and an education management system. Media for education will be available through a new system, which shall be accessible through multiple devices, including mobile and head-mounted displays. The system also applies concepts of integrated learning.

Featured research (18)

In biosignal processing, the importance of modeling and simulation to assist the development of methods, algorithms and systems is increasing. However, models and simulation environments may also be used in the later application, e.g. to enable physicians, therapists and nurses to provide assistance in treatment. Most of the time, however, the difficulty is to implement and apply the rather complex model data or to evaluate the output of the model. For this purpose, the paper presents a method that intelligibly prepares the input data of a biomechanical model for the end user using a game development environment
Motion capture systems or MoCap systems are used for game development and in the field of sports for the assessment and digitalization of human movement. Furthermore, MoCap systems are also used in the medical and therapeutic field for the analysis of human movement patterns. As examples gait analysis or examination of the musculoskeletal system and its function should be mentioned. Most application relate to a specific person and their movement or to the comparison of movements of different people. Within the scope of this paper an averaged motion sequence is supposed to be generated from MoCap data in order to be able to use it in the field of biomechanical modeling and simulation. For the averaging of individual movement sequences of different persons a Hidden Markov Model (HMM) based approach is presented.
Today integrated travel planning takes account of different transport modes, the current state of the transport system and to some extent the preferences of the user. Thus those systems are able to plan a travel as well as give advice during the travel. This chapter shows how to enhance the calculation model of an integrated travel planner to allow not only taking account the usage of vehicles but also the rest of infrastructures like station, including elevators, stairways, crossings, etc. Thus, it allows the creation of a travel planner that enables users using public transport in an intermodal personalized way, particularly those who are mentally or physically impaired. The testing area is in the state of North Rhine-Westphalia in particular the area of the Verkehrsverbund Rhein-Ruhr (VRR) transport authority.
This article presents an indoor positioning system based on camera and ultrasonic sensors mounted on a pair of glasses that is specifically designed for visually impaired individuals. The proposed system incorporates a recognition algorithm that is able to recognize certain color-coded markers with a detectable range of 15 m in real time on a quad-core embedded processor. In addition, microultrasonic transducers are implemented to detect obstacles in front of the glasses. The positioning system and obstacle detection can be adjusted to work independently or in parallel. The sensor data are then transmitted to a mobile phone to be processed. The results show that the proposed system is able to recognize markers and detect obstacles with low complexity and power consumption.

Lab head

Edwin Naroska
Department
  • Faculty of Electrical Engineering and Computer Science

Members (8)

Andreas Kitzig
  • Research Scientist
Andre Kürten
  • Research Scientist
Martina Braun
  • Researcher
Gudrun Stockmanns
Gudrun Stockmanns
  • Not confirmed yet
Johannes Layla
Johannes Layla
  • Not confirmed yet

Alumni (2)

Tobias Bolten
  • University Hochschule Niederrhein
Dennis Plattes
  • University Hochschule Niederrhein