Research projects

It’s our philosophy to always remain at the cutting-edge of innovation. Since its origin as a spin-off from EPFL, Gait Up has always been involved in several research projects in order to push the limits of movement analysis using accurate algorithm with inertial sensors.

Supported by
Walk Again

Closed-loop gait empowerment to restore free walking capacity for people with spinal cord injury

Today, over 480,000 Spinal Cord Injury (SCI) people in the EU and US are bound to a wheelchair, with around 24,000 new incidents annually. Our aim is to restore free walking capacity for those people, by providing closed-loop Space-Time specific Epidural Electrical Stimulation (ST-EES). In the project, we develop and validate gait detection tailored to SCI patients with largely impaired motor control, to optimise their gait and balance via epidural electrical stimulation. Gait Up’s role is to provide real-time gait phases to control the spinal cord stimulator, part of the closed-loop demonstrator inducing locomotion of SCI patients.

  • Sponsor: Eurostars (Reference: E!11834)
  • Duration: 01-04-2018 -01-10-2020 (30 months, ongoing)
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Keep Control

Industrial Academic Initial Training Network towards specific diagnosis and treatment of age-related gait and balance deficits

Balance and gait deficits are ubiquitous among the elderly, and lead to enormous personal, occupational and health care burden. Emerging pharmacological and non-pharmacological interventions to date have only small effects on these deficits, due to remaining fundamental questions on underlying mechanisms and treatment. The present project consists of a rare EU-wide combination of experts from clinical, biomechanic and neuroscience research and industry, who all aim at gaining a better understanding and treatment of balance and gait deficits in older adults. Gait Up will map out gait and balance performance of older adults with and without objective gait and balance impairments at home using minimally invasive Physilog® wearable sensors and advanced motion analysis algorithms

  • Sponsor: Horizon 2020 | Marie Skłodowska-Curie grant agreement No 721577
  • Duration: 2017-03-01 to 2021-02-28 (48 months, ongoing)
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Movement Assisting Devices: Manufacturing of personalized Kineto-Dynamics parts and products for workers, elderly and children

MovAiD is a project aiming at developing technologies assisting manufacturing of intelligent, “passive” and highly personalised kineto-dynamic equipment (Movement Assistive Devices) to enhance or compensate human movements, aiding the disabled, elderly and workers. Gait Up’s role within this project was to develop the embedded sensing solution and dedicated kinematic monitoring algorithms using our inertial sensor Physilog® to drive an integrated capture system. Within the MovAiD consortium, we have created an easy and self-calibrating algorithm for measuring the 3D kinematics of a customer that serves as input to design a personalized movement assistive device.

Watch Out!

New fusion engine using satellite navigation & inertial sensors for enhanced clinical-grade activity monitoring of elderly

Gait deficits are ubiquitous among the elderly population, and lead to enormous personal, occupational and health care burden. Current interventions only moderately improve gait deficits, and focus on fall treatment rather than prevention, as there is a lack of  tools for proactively monitoring patient behaviour in their home setting. By leveraging GNSS (Global Navigation Satellite System) services, Gait Up is able to provide a clinical-grade tracker for remote gait assessment and proactive fall prevention measures for seniors. The enhanced activity tracker combines existing IMU and GNSS hardware, in a wrist-worn format, with never before achieved accuracy.

  • Sponsor: ESA (European Space Agency)
  • Duration: 2017-09-12 to 2018-03-12 (6 months, closed)
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Run Up

Running footstrike analyser using wearable sensors

This project aims to provide a tool to coaches, sport clinicians and shoe retailers in order to improve running activity while keeping the runners safe. Using foot worn inertial units (Physilog®) and some of the latest wireless communication technologies, the goal is to design a light weight system, fast and easy to use able to provide an objective evaluation of the spatiotemporal running gait parameters of trials performed outside of a laboratory, in real running conditions. Through the building of a reference database, this device also aims to compare the extracted parameters to safe and unsafe running patterns to evaluate a possible risk of injury and provide useful feedback on the running techniques. This project is the result of the collaboration between Gait Up, ISSUL (University of Lausanne) and our lab.