Multi‐Segment Foot for Human Modelling and Simulation

Abstract

Realistic modelling of a human‐like character is one of the main topics in computer graphics to simulate human motion physically and also look realistically. Of the body parts, a human foot interacts with the ground, and plays an essential role in weight transmission, balancing posture and assisting ambulation. However, in the previous researches, the foot model was often simplified into one or two rigid bodies connected by a revolute joint. We propose a new foot model consisting of multiple segments to reproduce human foot shape and its functionality accurately. Based on the new model, we develop a foot pose controller that can reproduce foot postures that are generally not obtained in motion capture data. We demonstrate the validity of our foot model and the effectiveness of our foot controller with a variety of foot motions in a physics‐based simulation.

Motion Generation and Analyzing the User’s Arm Muscles via Leap Motion and Its Data-Driven Representations

“…While several simulation and control approaches [11], [35] have been developed by merging skeletal and muscular models, it is challenging to extend them to an interactive system that controls virtual objects in response to the user's movements. Lee et al [11] suggested a musculoskeletal simulation technique that utilizes a polyhedral-based volumetric structure and a line-segment controller to express muscle action via the skeleton.…”

“…Physicsbased systems relying on the user's muscles have been created in several ways, including directing a person's posture and movement [3], [32]- [34]. Methods for reproducing the natural posture and movement of the human body based on the mechanics of the musculoskeletal system have been investigated continually in the field of computer graphics [4], [5], [35]. To adapt these ideas to virtual reality (VR) and augmented reality (AR) environments, various issues must first be addressed: 1) The movements of the user must be captured in real time, and stability of motion capture is just as critical as real-time performance in this process.…”