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Human System Collaboration Adaptive, interactive systems for optimal collaboration between humans and machines

The Human System Collaboration team is exploring new ways to improve the interaction between humans and intelligent adaptive systems.

With a focus on healthcare, industry and engineering, the team is researching technologies such as digital twins, interactive systems and AI to strengthen human-system interaction, make processes more efficient and simplify complex tasks.

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Current Projects

RecoveryFun

Novel, modular solution for a proactive, personalized and gamified tele-rehabilitation solution using virtual reality and IoT.With exergames and Virtual Reality, the recovery from a chronic condition, or after an acute event, does not have to be tiring and boring, but can be enjoyable and fun.

Restart

RestArt

In the project RestArt an intelligent mobile assistant is to be researched, which accompanies Burnout patients after the stationary hospital stay in the everyday life and supplements the ambulatory treatment.

Simplifying and easing the use of complex technical systems for people with specific needs

We use increasingly complex, independent and powerful technical systems in our everyday lives. This introduces new possibilities to our private and professional lives. Often, these cannot be fully exploited because the systems are too complex. Human System Collaboration aims to make the advantages of such systems easily accessible and usable for everyone and to expand their capabilities in a focused way using smart technologies.

Together with industrial partners and research institutions in Switzerland and Europe, the HSC team is researching new forms of data-based interaction between humans and machines that enable complex technical systems to be easily used.

We address the the following problems and challenges:

Development of telemedical applications::

  • Ensuring the correct and recommended use of telemedical systems by patients
  • Collection, fusion and secure processing of quantitative and qualitative patient data
  • Tele-rehabilitation with VR glasses for stroke patients
     

Development of intelligent avatars to:

  • Simplify the use of assistance systems
  • Support communication with care organisations, friends and relatives
  • Reduce social isolation
  • Preparation of tailored information for the user
     

Digital twins and generative design to solve complex development tasks such as:

  • Optimal tuning of controllers and filters in technical systems
  • Automatic generation of a broad range of design variants of technical systems
  • Early evaluation of the impact of design variants of technical systems.
  • Predictive maintenance
  • Error analysis and prediction to avoid failures

Competencies

The work of the HSC team is based on the following competencies::

  • Use of machine learning for signal processing and prediction
  • Development and application of LLM's for text and speech processing
  • Development of local LLMs for secure and private applications
  • Apllication of genetic algorithms for Generative Design and optimisation
  • Full stack IoT development
  • Modeling for digital twins
  • Generation of synthetic data for training AI/ML
  • Application of our own open source digital twin platform
  • Design thinking and implementation science
     

For more than 15 years, the iHomeLab has been successfully involved in research and has developed solutions in the field of Human System Collaboration in various projects.

DEMETER

DEMETER - Combining NLP and Trust

Automated collection and processing of agricultural data with "Natural Language Processing" and Machine Learning to make market information from the agricultural sector accessible to a broad mass with an app.

Moost

MOOST Smart Home Activity Recognition

Activity recognition system for heterogeneous smart home setups. Create value for smarthome owners by providing them with highly personalized tips on how to better use their system.

AAL4All

AAL4All

Extension of an existing smart home solution with the aim of enabling elderly people to live longer in their own homes. The system is enhanced with sensors that detect activities of daily living. It notifies a relative in the event of conspicuous abnormalities.

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RecoveryFun

Novel, modular solution for a proactive, personalized and gamified tele-rehabilitation solution using virtual reality and IoT.With exergames and Virtual Reality, the recovery from a chronic condition, or after an acute event, does not have to be tiring and boring, but can be enjoyable and fun.

Projekt Cleverguard

CleverGuard

Using "NIALM technology" to detect whether the use of electrical appliances in flats deviates strongly from the usual pattern, and thus to detect inactivity of residents in need of care at an early stage.

HACK IT NET

HACK IT NET

Enabling an Alpine region Health And Care Knowledge and Innovation Transfer NETwork

Projekt FAST

FAST

Fitness device with adaptive heart rate control for older people based on an e-bike

Forschungsprojekt Pontis

Pontis

Can a person control a television set with his thoughts? Together with Samsung, the iHomeLab has developed a prototype in the Pontis project sponsored by innosuisse that actually makes this possible.

Forschungsprojekt Quality of Life

QEoL

What would you wish for if you only had a few weeks to live? Our latest project is about people who are at the end of their lives. And it's about the relatives and carers who often do enormous things these days.

Forschungsprojekt Bodyguard

Bodyguard

The use of voice control in smart homes offers a high level of comfort. But the microphones are always on, always connected - and sensitive data can inadvertently get out onto the Internet. We are developing a device that works with voice control and does not need the Internet at all.

Forschungsprojekt CARU Cares

CARU Care

CARU is a modern communication tool that facilitates interaction between older people, their relatives and carers.

Forschungsprojekt RestArt

RestArt

In the project RestArt an intelligent mobile assistant is to be researched, which accompanies Burnout patients after the stationary hospital stay in the everyday life and supplements the ambulatory treatment.

Forschungsprojekt HiStory

HiStory

The project aims to create a solution that enables older people to tell, share and consume stories and connect them through a shared experience.

Forschungsprojekt Ella for Life

Ella4Life

Ella4Life helps elderly or chronically ill people stay healthier and live a more comfortable life, independently and safely at home.

Artificial intelligence helps to dose Parkinson's medication correctly

Cyber-Human

Novel sensor network for optimizing the medication of Parkinson's patients. 

Forschungsprojekt enerFACEpredict

enerFACEpredict

Timing is everything. Especially owners of solar plants are aware of that fact. Because the more precisely they can regulate their power consumption, the less they need to purchase external power. Calculating the optimal timing is a complex matter. We try to find a way in our new research project.

Home4Dem

Home4Dem

The project explores solutions to support people with dementia in their own four walls. In addition, care organisations and carers from the personal environment are involved.

Forschungsprojekt Anne

Counteracting loneliness:

With «Anne» we have developed a tablet that is now being put into operation as a pilot project - because loneliness is a big issue, especially for older people.

Projekt Smart Maintenance

Smart Maintenance 4.0

"Predictive Maintenance": Can sensor data be used to predict when a machine will need maintenance?

Forschungsprojekt CABInet

CABInet

"CABInet" is intended to create the basis for a coordination platform of a central counselling centre. In future, this advisory centre will act as a "single point of contact" for all participating institutions.

Our application-oriented and interdisciplinary research projects are carried out in close cooperation with industry partners and end-user organisations. The research partners automatically become part of our network, which currently comprises over 200 partners. They meet at networking events and have the opportunity to establish contacts for future projects.

The iHomeLab has a successful and long-standing collaboration with its partners.