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Cluster

Playfully train writing motor skills

Development of a serious game for support with writing difficulties Project state closed Project start February 2022 Funding duration 12 months Universities involved ZHAW, ZHdK, PHZH Practice partners Funding amount DIZH CHF 39'000 https://youtu.be/PJVoi11LMw4?si=XELW3HFIoTPHTwur With a prevalence of 10-30%, writing difficulties are one of the most common learning disorders among… Read More »Playfully train writing motor skills

Biodiversity Value At Risk

Assessing and Digitizing Risk Exposure Resulting from Biodiversity Loss We propose a fully digital, science-based solution that can provide forward-looking guidance for companies regarding the financial risks associated with biodiversity loss. We intend to communicate understandable risk metrics using User Interface to a biodiversity-committed network of stakeholders. Dr. Tomasz Orpiszewski,… Read More »Biodiversity Value At Risk

FlowLight

Fostering Productive Work in Hybrid Workplaces through an Ambient Display Project state closed Project start March 2022 Funding duration 15 months Universities involved UZH Practice partner Funding amount DIZH CHF 76'000 The goal of this project was to have a positive impact on the productivity and well-being of knowledge workers… Read More »FlowLight

Computational prediction of long COVID in the Canton of Zurich

Project state closed Project start January 2022 Funding duration 14 months Universities involved UZH Practice partners Universitätsspital Zürich SIB Swiss Institute of Bioinformatics Funding amount DIZH CHF 79'000 Approximately 30% of COVID-19 patients do not recover and develop long-term symptoms (Long COVID). Based on serum immunoglobulin measurements, a prediction score… Read More »Computational prediction of long COVID in the Canton of Zurich

Deep Brain Vessel Profiler

Enhancing Brain Angiograms for Personalized Stroke Management The architecture of the supplying brain blood vessels impacts the occurrence and severity of stroke. DeepBVP will extract the Circle of Willis from MRA, automatically annotate vessel segments and characterize them morphologically and topologically. We employ deep learning methods with a solid knowledge… Read More »Deep Brain Vessel Profiler

You+Care

Digital support for caregivers Project state closed Project start September 2021 Funding duration 28 months Universities involved ZHAW, ZHdK Practice partners We+Tech, Pro Aidants Funding amount DIZH CHF 223'000 There is an enormous amount of knowledge available for relatives of people with dementia. So much, in fact, that it’s easy… Read More »You+Care

ExerCube

Design and Evaluation of a Digital Exergame-Based Solution for Effective and Attractive Sports Rehabilitation Project state closed Project start November 2021 Funding duration 24 months Universities involved ZHAW, ZHdK Practice partners Sphery AG Funding amount DIZH CHF 202'000 https://vimeo.com/832178081 After a knee injury, only 65% of athletes return to the… Read More »ExerCube

Making in the classroom

School-related creation and testing of OER modules explore-making.ch OER-Units for Making To the anthology The anthology “Making & More: gemeinsam Lernen gestalten” (in German) offers well-founded insights, new approaches and practical reports on how to integrate creative and activity-oriented learning into the classroom. Making – a simple “making”, a “doing… Read More »Making in the classroom

Virtual reality as a learning venue for basic vocational training

Action Competence through Immersive Learning Experiences Project state closed Project start July 2021 Funding duration 15 months Universities involved ZHAW, PHZH Practice partners BKW Building Solutions, Bandara, Helvetas, EIT.swiss Funding amount DIZH CHF 102'000 For many training companies, it is difficult to provide vocational trainees with sufficient situations in which… Read More »Virtual reality as a learning venue for basic vocational training

Tele-Assessment

Leveraging Deep Learning to Assess Upper Limb Kinematics after Stroke with Off-the-shelf Webcams We develop and validate a camera-based compensation classifier (“3C”) for tele-neurorehabilitation to discriminate normal arm-movements from those with compensation. The algorithm can be used with a webcam alone or in combination with inertial measurement unit (IMU).  This… Read More »Tele-Assessment