Finnish Smart Clothing Picks a New Career Path

VTT Technical Research Centre of FinlandThe Smart Clothing 2.0 project led by VTT Technical Research Centre of Finland Ltd creates business opportunities for Finnish smart clothing and services. Research institutes and companies are working together to develop completely new products for the international markets.

For the past ten years, major business opportunities have been predicted to open up for smart clothing. Technology can be integrated in textiles and clothing to enable simultaneous and real-time monitoring of multiple factors, functional smart adjustments, and the development of a wide range of service concepts for different consumer segments. The development of sensor and data communications technology in particular will enable significant international breakthroughs.

Smart Clothing 2.0 will identify distinct end user needs and the latest technological potential. This will help to develop new product and service concepts, working in close collaboration with the business participants. Functionality of the project’s concepts will be tested by VTT and the Finnish Institute of Occupational Health, while the Emergency Services College will provide their expert opinions on both smart clothing and several service concepts, for example in matters related to accident call outs.

"We are organising an ambitious collaboration network for smart clothing to commercialise Finnish expertise in the booming national and international markets. Ultimately, we will develop genuinely new smart clothing for diverse user groups, be it hikers, top athletes, firefighters, children of all ages, fitters working high on masts, personnel maintaining and installing lifts, or patients recovering in hospitals," says Project Leader and Principal Scientist, Pekka Tuomaala of VTT.

The project has five business participants, each developing smart clothes and services for their own company. Suunto’s project includes several service concepts for exercise and leisure activities. Inkron will produce printed electronics solutions for textiles. Savox is planning new functionalities, for example for the needs of fire and rescue services. Reima encourages children to move using smart clothing concepts. Wind Controller develops smart clothing solutions and services for the needs of wind turbine fitters and maintenance personnel working in many types of extreme conditions.

"In the Smart Clothing 2.0 project, national spearhead funding is used to support the deepening collaboration across the industry as a whole, and level the path for businesses accessing the international smart clothing markets, currently enjoying strong growth," said Specialist Jouko Salo from Tekes, the main funding agency for the project.

Led by VTT, Smart Clothing 2.0 was launched in June 2017 and will run until December 2018.

In addition to Tekes and business participants (Suunto Oy, Inkron Oy, Savox Oy, Reima Oy ja Wind Controller Oy), the project is funded also by KONE Corporation, LähiTapiola Oy, Image Wear Oy ja Finlayson Oy.

About VTT:
VTT Technical Research Centre of Finland Ltd is the leading research and technology company in the Nordic countries. We use our research and knowledge to provide expert services for our domestic and international customers and partners, and for both private and public sectors. We use 4,000,000 hours of brainpower a year to develop new technological solutions.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...