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ph-coding SIGNED

Predictive Haptic COding Devices In Next Generation interfaces

Total Cost €


EC-Contrib. €






 ph-coding project word cloud

Explore the words cloud of the ph-coding project. It provides you a very rough idea of what is the project "ph-coding" about.

despite    scientific    contact    model    first    yields    corresponding    stimulating    intuitive    disinteresting    technological    skin    dimensional    environment    breaking    hypothesis    coding    robotics    sensor    physical    sensory    vr    active    enriched    objects    solutions    eskin    human    forefront    nanotechnology    contingencies    experiments    extract    branch    interfaces    groups    variety    input    computational    robots    understimulating    man    interactions    sme    reading    code    transmission    nano    intrinsically    responsiveness    fabricate    ultra    interaction    mechanics    stable    mechanisms    relationship    brain    population    underlying    robotic    haptics    predictive    signals    sensors    ground    neuroscience    combined    actions    capacity    ph    modulated    founds    generate    micro    haptic    generation    percepts    world    principles    soft    usher    passive    bendable    remote    integrating    perceive    artificial    electronics    tension    variability   

Project "ph-coding" data sheet

The following table provides information about the project.


Organization address
address: Paradisgatan 5c
city: LUND
postcode: 22100
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Sweden [SE]
 Total cost 2˙988˙285 €
 EC max contribution 2˙988˙285 € (100%)
 Programme 1. H2020-EU.1.2.1. (FET Open)
 Code Call H2020-FETOPEN-2018-2019-2020-01
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2021-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LUNDS UNIVERSITET SE (LUND) coordinator 815˙201.00
2    UNIVERSITY OF GLASGOW UK (GLASGOW) participant 810˙906.00
4    ACTRONIKA FR (PARIS) participant 674˙933.00


 Project 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.


year authors and title journal last update
List of publications.
2019 Anders Wahlbom, Jonas M. D. Enander, Fredrik Bengtsson, Henrik Jörntell
Focal neocortical lesions impair distant neuronal information processing
published pages: 4357-4371, ISSN: 0022-3751, DOI: 10.1113/jp277717
The Journal of Physiology 597/16 2020-03-05
2020 Udaya B. Rongala, Alberto Mazzoni, Anton Spanne, Henrik Jörntell, Calogero M. Oddo
Cuneate spiking neural network learning to classify naturalistic texture stimuli under varying sensing conditions
published pages: 273-287, ISSN: 0893-6080, DOI: 10.1016/j.neunet.2019.11.020
Neural Networks 123 2020-03-05
2019 Ravinder Dahiya, Nivasan Yogeswaran, Fengyuan Liu, Libu Manjakkal, Etienne Burdet, Vincent Hayward, Henrik Jorntell
Large-Area Soft e-Skin: The Challenges Beyond Sensor Designs
published pages: 2016-2033, ISSN: 0018-9219, DOI: 10.1109/JPROC.2019.2941366
Proceedings of the IEEE 107/10 2020-03-05
2019 Jonas M.D. Enander, Henrik Jörntell
Somatosensory Cortical Neurons Decode Tactile Input Patterns and Location from Both Dominant and Non-dominant Digits
published pages: 3551-3560.e4, ISSN: 2211-1247, DOI: 10.1016/j.celrep.2019.02.099
Cell Reports 26/13 2020-01-30

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The information about "PH-CODING" are provided by the European Opendata Portal: CORDIS opendata.

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