- Personalised Virtual Stroke Rehabilitation
Funded by Business Finland (grant number: 1573/31/2020)
The goal of the project is to further develop and evaluate a virtual stroke rehabilitation solution that combines task-specific and object-related VR exergames with AI-driven and eTextile-based personalised wearable interfaces to improve the effectiveness of post-stroke rehabilitation, and to prepare its commercialization. The project team, including both technical and commercialization experts, plan to develop and evaluate prototypes and business models through close collaboration with professionals of neurologic therapy.
DataFog: A data-driven platform for capacity and resource management in vehicular fog computing
Funded by Academy of Finland (grant number: 317432)
DataFog aims at developing big data-supported methodologies for forecasting the computing and communication capacity demanded by future vehicular applications in urban areas, and providing an intelligent platform that provides data-driven mathematical models, tested methods and execution environments for capacity and resource management in vehicular fog computing.
DEBARE: Deep-learning based activity recognition on the edge
This is part of ATTRACT that has received funding from the European Union’s Horizon 2020 Research and Innovation Programme (grant number: 777222).
DEBARE researches novel gesture recognition using distributed multimodal deep learning and smart sensors. We aim at developing a groundbreaking intelligent sensing platform for intuitive interaction with physical objects.
5G-MOBIX: 5G for cooperative & connected automated mobility on x-border corridors
Funded by the European Commission (grant agreement No 825496)
5G-MOBIX aims at executing CCAM trials along x-border and urban corridors using 5G core technological innovations to qualify the 5G infrastructure and evaluate its benefits in the CCAM context as well as defining deployment scenarios and identifying and responding to standardisation and spectrum gaps.
CEAMA: Cognitive engine for assembly and maintenance automation
Funded by Business Finland (1660/31/2018)
2018 – 2020
The existing assembly and maintenance assistance systems are limited to AR based information visualization and remote communications. They are not intelligent enough to learn and adapt to new situations (e.g. workflows, operating environments, mechanical components, etc.), and are lacking scalability due to the intensive labour work involved in the application development and deployment. CEAMA solves these challenges by enabling automatic knowledge sensing, characterization and transfer. Knowledge here refers primarily to the instructions of assembly and maintenance tasks.
PRIMO-5G: Virtual presence in moving objects through 5G
Funded by the European Commission (grant agreement No 815191)
2018 – 2021
The aim of this project is to demonstrate an end-to-end 5G system providing immersive video services for moving objects such as cars and drones. This will be done by cross-continental testbeds that integrate radio access and core networks developed by different project partners.
RECAP: Reality capture for construction management
Funded by Business Finland (2758/31/2017)
2017 – 2019 (joint work with Department of Civil Engineering)
The project aims to automatically monitor the progress of construction sites. The resulting situational awareness can be used for decision making and visualization using Augmented Reality. With better situational awareness, it is possible to decrease waste and improve productivity of construction industry.
ACTIVE: Advanced connectivity platform for vertical segments
Funded by EIT Digital
2017 – 2018
The project creates a generic connectivity and middle-ware platform including security to support application developers for different segments without having to redo the whole stack. The platform will be applied and verified in the transport and health sectors; aircraft (and railway) to deliver mobile broadband services as well as support the management of transportation vehicles through sensor and capillary nets and similar for wearable and body sensors in the health area.
Intelligent construction site
Funded by Business Finland
2016 – 2018
This project aims to develop the concept of an intelligent construction site which utilizes and combines data of all production system entities. We investigate what kind of data can be collected in real time from construction sites and what kind of IT systems are required to fully utilize the potential of production control.
Virtual reality application for physical therapy in chronic pain management
Funded by the Helsinki Institute for Information Technology
(Joint work with Aalto/ARTS.)
VimAI Oy (spin-off)
Funded by Business Finland
2016 – …
Enabling indoor augmented intelligence by recognizing the world.
Image-based indoor product navigation system
Funded by Business Finland
2016 – 2017
Tässä projektissa analysoidaan ja selvitetään valokuvapohjaisen sisätilapaikannusjärjestelmän liiketoiminnallisia mahdollisuuksia. Kehittämämme sisätilapaikannusjärjestelmä perustuu rakennuksen sisällä otettujen valokuvien perusteella laskettuun paikka- ja navigointitietoon. Kehitetyn järjestelmän tekninen soveltuvuus evaluoidaan kauppakeskuksessa toteutettavassa pilotissa.
Collaborative optimization for networking performance in ubiquitous cloud computing
Funded by the Academy of Finland (Grant number: 268096)
2013 – 2017
The project aims at providing models for understanding and evaluating networking performance in ubiquitous cloud computing, and based on the models to develop new solutions that improve the networking performance for mobile cloud applications.