Smart Reasoning Systems for Wellbeing at Work and at Home

(Duration 10-2010 — 10-2015 Funding: COMMIT)


The SWELL project aimed to keep employees happy and healthy in the workplace, increasing productivity and stimulating general well-being. This involved reducing both mental and physical stress and stimulating well-being and ‘well-working’. The project partners proposed to increase well-being by monitoring an individual’s activities and health status, and coaching them in order to stimulate healthy and productive behaviour. The project specifically targeted (nomadic) knowledge workers, which means that their working environment can be either in the office, at home, or anywhere else.

The activities monitored ranged from physical activities such as moving around and deep concentration, to patterns of information access for working, personal, or entertainment purposes. Monitoring is achieved using advanced sensing and reasoning techniques. The collected information is used to provide users with feedback and suggestions to avoid both physical and mental stress. This functionality is implemented as an unobtrusive coach or assistant that is tailored to the context and personality of the individual user.

Almende’s contribution

In May 2013, Almende and its daughter company Sense Observation Systems stepped into the project, taking over the role of Ericsson. Sense provided their knowledge on interpreting raw sensor data in order to recognise different activities. They used their generic platform CommonSense to gather and manage all sensor data collected during the project. Almende was the leader of WP6 – Well-being applications for mental lifestyle changes. In this work package, we developed an integrated application for demonstration and validation purposes.


The project contributed to the behavior recognition and context awareness expertise of our daughter company Sense Observation Systems, which was integrated in their generic CommonSense platform to be used in future applications in health. For Almende, the project furthered our knowledge on integrating various software and sensor components into a user-focused application that could cleanly demonstrate results to stakeholders of different knowledge levels.


Health, wellbeing, behavior change, sensors, sensor analysis, context awareness