Kontakt

Du brauchst Unterstützung?

Für technische Fragen zu Moticon Produkten

Kontaktiere den Support

Du hast Fragen?

Sende uns hier eine Nachricht zu generellen Fragen

Nachricht schreiben

Interesse an einer Live-Demo?

Erlebe unsere Produkte in Aktion und stelle Fragen

Demo anfragen

Interesse an Preisen?

Erhalte die offiziellen Preislisten oder ein individuelles Angebot

Angebot anfragen

Nur einen Anruf entfernt

+49 89 2000 301 60

2022

Eurographics Symposium on Computer Animation

UnderPressure: Deep Learning for Foot Contact Detection, Ground Reaction Force Estimation and Footskate Cleanup

Lucas Mourot, Ludovic Hoyet, François Le Clerc, Pierre Hellier

Inria, Univ Rennes, CNRS, IRISA

Download PDF >

DOI Link >

Computer games, ground reaction force

Zusammenfassung

Human motion synthesis and editing are essential to many applications like film post-production. However, they often introduce artefacts in motions, which can be detrimental to the perceived realism. In particular, footskating is a frequent and disturbing artefact requiring foot contacts knowledge to be cleaned up. Current approaches to obtain foot contact labels rely either on unreliable threshold-based heuristics or on tedious manual annotation. In this article, we address foot contact label detection from motion with a deep learning. To this end, we first publicly release UnderPressure, a novel motion capture database labelled with pressure insoles data serving as reliable knowledge of foot contact with the ground. Then, we design and train a deep neural network to estimate ground reaction forces exerted on the feet from motion data and then derive accurate foot contact labels. The evaluation of our model shows that we significantly outperform heuristic approaches based on height and velocity thresholds and that our approach is much more robust on motion sequences suffering from perturbations like noise or footskate. We further propose a fully automatic workflow for footskate cleanup: foot contact labels are first derived from estimated ground reaction forces. Then, footskate is removed by solving foot constraints through an optimisation-based inverse kinematics (IK) approach that ensures consistency with the estimated ground reaction forces. Beyond footskate cleanup, both the database and the method we propose could help to improve many approaches based on foot contact labels or ground reaction forces, including inverse dynamics problems like motion reconstruction and learning of deep motion models in motion synthesis or character animation.

Moticon's Schlussfolgerungen

In this publications the authors introduce and leverage a publicly availavle dataset for usage in a deep neural network to estimate vertical ground reaction forces. Corresponding foot contact labels are derived from gound reaction force measurments with Moticon sensor insoles. The authors suggest that the introuced data base and method may aid in improving approches in motion sythesis.

Kontaktiere uns

Buche eine kostenlose Online-Demo oder verwende das Kontaktformular, um mit uns in Kontakt zu treten.

Newsletter

Trage Dich in unseren Newsletter ein, um regelmäßige Updates zu erhalten

Verwendete Produkte von Moticon

Implementation code & model >

Übersicht

Tests

Sensorsohlen

Zubehör

mit OpenGo

Übersicht

App

Services

Sensorsohlen

Software

Zubehör

mit ReGo

Du brauchst Unterstützung?

Für technische Fragen zu Moticon Produkten

Du hast Fragen?

Sende uns hier eine Nachricht zu generellen Fragen

Interesse an einer Live-Demo?

Erlebe unsere Produkte in Aktion und stelle Fragen

Interesse an Preisen?

Erhalte die offiziellen Preislisten oder ein individuelles Angebot

Nur einen Anruf entfernt

2022

Eurographics Symposium on Computer Animation

UnderPressure: Deep Learning for Foot Contact Detection, Ground Reaction Force Estimation and Footskate Cleanup

Lucas Mourot, Ludovic Hoyet, François Le Clerc, Pierre Hellier

Inria, Univ Rennes, CNRS, IRISA

Schlagwörter

Computer games, ground reaction force

Computer games, ground reaction force

Zusammenfassung

Moticon's Schlussfolgerungen

Overview

Sensor Insoles

Tests

Accessories

with OpenGo

Overview

Sensor Insoles

App

Software

Services

Accessories

with ReGo

Select your desired system

Have a general inquiry?

Übersicht

Sensorsohlen

Tests

Zubehör

mit OpenGo

Übersicht

Sensorsohlen

App

Software

Services

Zubehör

mit ReGo

Wähle Deine Produktelinie

Du möchtest eine Anfrage stellen?

Das Formular wurde erfolgreich gesendet.

Immer einen Schritt voraus!

Wähle das gewünschte System

Hole dir Unterstützung

Finde Antworten zu den häufigsten Fragen in unseren FAQ

The form was sent successfully.

Get support

Check our FAQ database for answers to frequently asked questions

Select your desired system