Obiettivo
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.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze socialieconomia e commercioeconomia e gestione aziendalegestione dell’innovazione
- scienze socialieconomia e commercioscienze economicheeconomia della produzioneproduttività
- scienze socialipsicologia
- scienze naturaliinformatica e scienze dell'informazionescienza dei datibusiness intelligence
- ingegneria e tecnologiaingegneria elettrica, ingegneria elettronica, ingegneria informaticaingegneria informaticatelecomunicazionitelefoni mobili
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Programma(i)
- 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
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEINST-2-2016-2017
Meccanismo di finanziamento
SME-2 - SME instrument phase 2Coordinatore
83052 BRUCKMUHL
Germania
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.