Low form-factor modular haptic actuator based on a multipole magnetic arrangement
Market Maturity: Business Ready
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Market Creation Potential
This innovation was assessed by the JRC’s Market Creation Potential indicator framework as having a “Very high” level of Market Creation Potential. Only innovations that are showing multiple signals of market creation potential are assigned a value under this indicator system. Learn more
A woman had a leadership role in developing this innovation in at least one of the Key Innovator organisations listed below.
Go to Market needs
Needs that, if addressed, can increase the chances this innovation gets to (or closer to) the market incude:
Prepare for Market entry
Scale-up market opportunities
Location of Key Innovators developing this innovation
PARIS, FR Small or Medium Enterprise
The EU-funded Research Project
This innovation was developed under the Horizon 2020 project ph-coding with an end date of 31/12/2021
PH-CODING founds the next generation ultra-intuitive user interfaces, through a new branch of neuroscience and providing the first exploitation of its underlying predictive coding principles in technological solutions for human haptic interactions. The main scientific hypothesis is that any haptic interaction involves a very large number of widespread skin sensors whose signals have a relationship that is intrinsically modulated by the contact with the environment and the skin mechanics. Combined with predictive actions, the brain is thus able to generate highly enriched percepts of the interactions that we make, which yields an essential part of the brain’s development of the concept of contingencies and a rich and stimulating understanding of the physical world. Failure to reach a corresponding level of responsiveness is likely a main reason why current user interfaces in VR systems and remote control become understimulating and disinteresting to most users.
Characterize the brain’s computational mechanisms for reading out sensor population code’s generated in different skin tension states in experiments with dedicated haptic interfaces
Develop a predictive coding model to extract stable haptic percepts through active interaction despite variability in the sensory signals, and demonstrate it in a robotic implementation
Design and fabricate a soft artificial eSKIN based on bendable electronics integrating a variety of micro-/nano-sensors, with the capacity to ‘perceive’ multi-dimensional user input
Demonstrate the transmission of ultra-rich haptic information generated in a man-to-eSKIN contact to a remote user via novel active haptic interfaces
Carried out by leading neuroscience, nanotechnology and robotics groups and an SME at the forefront of haptics technology, this ground-breaking research will usher a new generation of passive and active devices enabling human-like, robust and rich interaction with objects, devices and robots.
Innnovation Radar's analysis of this innovation is based on data collected on 20/02/2020.