Advances are being made in applying digital twin (DT) and human–robot collaboration
(HRC) to industrial fields for safe, effective, and flexible manufacturing. Using a DT for …

In this paper, as a practical approach to building a human-centered cyber-physical system
(CPS), we propose a software platform that integrates hardware and software materials to …

The measurement of human motion is an important aspect of ergonomic mobility design, in
which the mobility product is evaluated based on human factors obtained by digital human …

Individual human models are usually created by direct 3D scanning or deforming a template
model according to the measured dimensions. In this paper, we propose a method to …

Following improvements in deep neural networks, state-of-the-art networks have been
proposed for human recognition using point clouds captured by LiDAR. However, the …

This paper proposes the synthesis of grasp postures using a digital hand with limited range
of motion (ROM) of the thumb. To virtually evaluate universal design products, it is necessary …

In this paper, we propose an automatic labeled sequential data generation pipeline for
human segmentation and velocity estimation with point clouds. Considering the impact of …

The accuracy of a motion capture (MoCap) system based on inertial measurement units
(IMUs) depends on the IMU-to-segment (I2S) calibration, in which the IMU alignment relative …

We propose a three-dimensional (3D) scanning system based on laser-vision technique and
rotary mechanism combination for automatic 3D model reconstruction. The proposed …

Following the improvements in deep neural networks, state-of-the-art networks have been
proposed for human segmentation using point clouds captured by light detection and …