“Adaptive technologies for society – Intelligent interaction between humans and artificial intelligence”
As part of the i-compression research project, the Nursing Research Group of the Geriatrics Research Group at the Charité Universitätsmedizin Berlin has been using Interactive Wear’s MicroHub development system to record motion data, which were then classified by Interactive Wear. The motion patterns that needed to be detected were lying, sitting, standing, walking and climbing stairs, as well as two exercises typically used for mobilisation.
By using neural networks – convolutional neural networks with 3-5 levels implemented in Python/PyTorch – a hit rate of 85% to 93.2% was achieved. The same neural networks with Interactive Wear's Enhanced Features, on the other hand, yielded hit rates of over 99.5%. Since these hit rates can be achieved even with single-layer networks, the resource requirement for computation is also significantly reduced. A network created in this way can then run on a small, low-power ARM M0+ class microcontroller, in real time, with analyses performed every 2-3 seconds.
About sensor application development at Interactive Wear:
The Interactive Wear tools include hardware and software development systems that are suitable for a wide spectrum of body sensor network applications. The development systems and methods enable rapid prototyping of customer applications. The spectrum ranges from simple applications with 6 or 9-axis IMUs (inertial measurement units) to distributed systems with multiple IMUs and analogue sensors (e.g. pressure, strain) for sensor fusion as well as the integration of actuators. Data acquisition during the development phase is performed using a data logger that is adapted to the respective application and supports both live observations and analysis of recorded sensor data.
i-compression is funded by the Federal Ministry of Education and Research (BMBF) over three years as part of the KMU-innovativ funding initiative for SMEs
Since January 2019, Interactive Wear has joined the i-compression Project. We are working within research and industrial partners to develop and demonstrate a sensor-driven TENS-application (Transcutaneous Electrical Nerve Stimulation) to help people with VCI (chronic venous insufficiency).
The aim of the project is to develop a compression stocking with integrated actuator and motion sensor technology. This combines the benefits of a conventional compression stocking as a passive, mechanical decongestive therapy with active decongestion by means of electrically stimulated muscle movement, thus helping to maintain venous return flow.
This novel approach to the prevention of thrombosis consists of the combination of classical mechanical decongestive therapy and transcutaneous electrical nerve stimulation used in conjunction with continuous mobility monitoring, without additional medical treatment.
i-compression is funded by the Federal Ministry of Education and Research (BMBF) over three years as part of the KMU-innovativ funding initiative for SMEs. The project is coordinated by C&S Computer und Software GmbH; other project partners are Charité Universitätsmedizin (Berlin), Interactive Wear AG (Starnberg), Fein-Elast Umspinnwerk GmbH (Zeulenroda), and the Institute for Materials Science and Institute of Information Systems at the Hof University of Applied Sciences.
Horizon 2020 Call on adaptive smart working and living environments supporting active and healthy ageing
Our overall objective is to develop a holistic, unobtrusive, autonomous and privacy preserving platform for real-time risk alerting and continuous coaching. This will enable a design of workplace interventions adapted to the needs and fitness levels of specific ageing workforce. Gamification strategies adapted to the needs and wishes of the elderly workers will ensure optimal engagement for prevention and for self-management of musculoskeletal health in any working/living environment.