Our clients

Our clients

Our research finds different applications, from sports training to human-robot interaction.

We are willing to work with psychological, biomechanical and neurophysiological researchers, clinicians, therapists, health hazard technicians, sport trainers, commercial companies, and anyone interested in the objective measurement and quantification of free-living physical behavior and its related constructs. Some previous projects:

Health Hazard Monitoring and Evaluation

The evaluation of the health hazards present at a workplace is useful to both employees and employers. We developed portable and wearable nonintrusive sensors to provide assistance and to assess exposure and employee health in a easy and inexpensive way. Such systems allow to produce fast feedback to recommend ways to reduce hazards and prevent work-related illness.

- Project H2ies: Health Hazard Inertial Evaluation System

- Project InerSensTB: Inertial Sensors Toolbox (InerSensTB)

Training/Rehabilitation Activity Assessment

Sport training and rehabilitation are applications which can benefit from ambulatory sensor systems technologies designed to capture human motion-related variables in real-time. We developed sensor systems to provide a personalized user feedback with motivational aspects the can only be achieved by customized information treatment and knowledge extraction in prolonged time periods.

Eldercare or healthcare monitoring

Ambient Assisted Living. Healthcare services have a growing demand because of the increase of aging population. New technologies can empower people with age-related dependencies to live independently for longer, leading to a better social support and a positive impact on general mental and physical wellbeing. Acceptance of such technologies requires them to be invisible for the patient, robust and configuration free.

Pedestrian navigation

Movement monitoring with portable devices allows to estimate the user location, opening the door to the development of multiple location-based services.

Man-machine interaction/collaboration

Robots and advanced automated machines can benefit from Ambulatory Activity Recognition to facilitate a natural and effortless human-robot interaction. Human should not care about such coupling, the technology has to detect motions and intentions of humans, and act accordingly to have robots that interact with humans and move safely between them.