Objective
The SOMA project will demonstrate a non-obtrusive smartphone-based solution able to detect and manage stress based on the analysis of speech and sleep patterns (Kelaa). The solution prototype now includes a diagnostic module (smartphone sensors use to gather and analyse stress biomarkers), an interventional module (smartphone apps used to reduce stress levels) and an big data analytics module (anonymous data aggregation used to identify specific HR issues such as abnormal stress levels in specific departments).
Unlike other smartphone-based solutions targeting individual users, the Kelaa solution is designed to be integrated with standard corporate wellness programmes. The issue of absenteeism and presenteeism is a top priority for HR departments due to increasing work day losses and the Kelaa solution addresses a key trend within corporate wellbeing budgets (€400 per employee per year translating into €10 Bn year per year globally). In 2013, the costs of work-related depression in the EU-27 was estimated to be €617 Bn annually. The Kelaa solution can contribute to cost reductions of 30% for healthcare providers and corporate while improving the wellbeing of employees.
Phase 1 already validated the clinical and commercial value of the Kelaa solution: reduction in perceived stress of 14%, an improvement of sleep quality of 13%, overall well-being improvement of 11%, willingness to pay of €65-85 per user per year and estimated savings extrapolated to €400,000 per year for 2000 employees. Phase 2 will conduct a large-scale trial in order to generate additional clinical evidence and fine-tune the solution algorithms and user interface.
Strong clinical evidence gathered in this project will ensure the endorsement by national healthcare authorities and large corporates, allowing the Kelaa solution to stand out among other (non-evidence based) stress management solutions. The company aims to generate €24M and 190 jobs by 2023 and develop its IPR portfolio further.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- social scienceseconomics and businessbusiness and managementinnovation management
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- social sciencespsychology
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
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Programme(s)
- H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being Main Programme
- H2020-EU.3.1.4. - Active ageing and self-management of health
- H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
- H2020-EU.3.1.6. - Health care provision and integrated care
Funding Scheme
SME-2 - SME instrument phase 2Coordinator
83052 BRUCKMUHL
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.