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Predictive Haptic COding Devices In Next Generation interfaces

Project description

Improved haptic technology enables more human-like interaction with objects

Haptic interfaces allow humans to interact with a computer through bodily sensations and movements. The technology uses purpose-built sensors that can send electrical signals based on movements or interactions. A major shortcoming in current interfaces is their poor intuitiveness and their failure to match up to a rich and diversified responsiveness level as that expressed by the brain. The EU-funded ph-coding project aims to overcome these limitations by designing bidirectional interfaces with high-dimensional functionality. Researchers will design a soft and flexible wearable sensor based on bendable electronics, with the capacity to perceive multi-dimensional user input. Better haptic interfaces will improve human interaction with objects, devices or robots.

Objective

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.
PH-CODING will:

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.

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-FETOPEN-2018-2020

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Coordinator

LUNDS UNIVERSITET
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 815 201,25
Address
Paradisgatan 5c
22100 Lund
Sweden

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Region
Södra Sverige Sydsverige Skåne län
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 815 201,25

Participants (3)

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