Research
We cooperate with universities, institutes and partners from industry in research projects. Our goal is to create, identify and use new technologies that contribute to wearable products by industrialization of new materials, seamless integration of electronics into textiles, advanced embedded controller and edge computing devices.
Focus of our research activities is the implementation of textile based distributed systems as well as the development and integration of new conductive textile components.
Furthermore, we support research projects through building professional demonstrators and prototypes in the area of smart textiles.
Motivation
Although interest in and commitment to their own health is, on the whole, rising across the population, it is often difficult for individuals to implement appropriate measures in their daily lives. Existing products and services are currently often only used by people who already demonstrate good health behaviour.
Aim and approach
The aim of the project is to develop an AI-based, learning assistance system that supports healthy everyday behaviour. To this end, data from wearables and smartphones will be analysed in order to be able to make suggestions – based on situational analyses, behavioural models and a digital twin (virtual representation of a human) – to their users with regard to health-enhancing behaviour. The use of sensor-aided observation and modelling of situations and behavioural patterns is intended to create a wealth of experience between users and AI, which will then serve as a common level of communication between human and AI. Novel AI-based strategy modelling shall make use of a wide range of user data to provide individualised aids to decision-making as well as recommendations for application scenarios, such as healthy nutrition, exercise in everyday life and support in old age.
Innovations and prospects
The new assistance system will make it possible to provide personalised, adaptive behavioural recommendations that are related to people’s relevant experiences and are easy to implement.
Contribution by IAW
- Development of the overall system design (from sensor integration to sensor evaluation and processing in neural networks)
- Development and production of demonstrators for data acquisition
- Development of business models
The goal of the project is to develop compression stockings with various integrated sensors and actuators. It will support the effect of venous return flow back to the heart from conventional compression stockings through active decongestion induced by electrically stimulated muscle movement. Data from integrated motion measurement will provide important information for the medical care.
Horizon 2020 Call: 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 platform will enable the 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 self-management of musculoskeletal health in any working/living environment.
The BIONIC consortium consists of a multidisciplinary team of researchers in the field of Artificial Intelligence, Data Analytics, System Security and Personal Data Protection; teaming up with experts in Wearable (Health) Electronics, Ergonomics and Anthropometry, Occupational Safety and Health. Results will be validated in real workplace environments by two prominent European enterprises from the construction and from the manufacturing sectors.
Within the SAAM project we focus upon innovative, technology-enabled approaches to support the aging population living at home, with a novel and practical emphasis on ambient sensing and learning of user needs and preferences, and effective coaching by leveraging the user’s social support networks.
MicroHub MCU Board
The main board consists of an energy efficient and power saving ARM Cortex M0+ sensor hub with 2x10 stackable pin connectors for an application and a communication shield. A distributed sensor and feedback network could be connected via 2x6 pad interface for textile cable.
Power supply
The system supports any kind of LIP (Lithium Polymer) battery to connect. The kit contains a 190 mAh LIP battery.
Communication Shield
As a standard we provide a combined BLE / SD-card shield. Other shields are available on demand, e.g. WIFI, LoRa or Narrowband IoT.
Sensors
The sensor shield support any kind of sensor modules with SPI/I2C interface. Additionally the MicroHub provides an ADC interface.