774 research outputs found
Relationship between bone mineral density, its associated physiological factors, and tooth loss in postmenopausal Korean women
MOVIN: Real-time Motion Capture using a Single LiDAR
Recent advancements in technology have brought forth new forms of interactive
applications, such as the social metaverse, where end users interact with each
other through their virtual avatars. In such applications, precise full-body
tracking is essential for an immersive experience and a sense of embodiment
with the virtual avatar. However, current motion capture systems are not easily
accessible to end users due to their high cost, the requirement for special
skills to operate them, or the discomfort associated with wearable devices. In
this paper, we present MOVIN, the data-driven generative method for real-time
motion capture with global tracking, using a single LiDAR sensor. Our
autoregressive conditional variational autoencoder (CVAE) model learns the
distribution of pose variations conditioned on the given 3D point cloud from
LiDAR.As a central factor for high-accuracy motion capture, we propose a novel
feature encoder to learn the correlation between the historical 3D point cloud
data and global, local pose features, resulting in effective learning of the
pose prior. Global pose features include root translation, rotation, and foot
contacts, while local features comprise joint positions and rotations.
Subsequently, a pose generator takes into account the sampled latent variable
along with the features from the previous frame to generate a plausible current
pose. Our framework accurately predicts the performer's 3D global information
and local joint details while effectively considering temporally coherent
movements across frames. We demonstrate the effectiveness of our architecture
through quantitative and qualitative evaluations, comparing it against
state-of-the-art methods. Additionally, we implement a real-time application to
showcase our method in real-world scenarios. MOVIN dataset is available at
\url{https://movin3d.github.io/movin_pg2023/}
Fabrication of Gold Nanodot Array for the Localized Surface Plasmon Resonance
Localized surface plasmon resonance (LSPR) is a promising method for detecting antigen-antibody binding in label-free biosensors. In this study, the fabrication of a LSPR substrate with a gold nanodot array through the lift-off process of an alumina mask is reported. The substrate showed an extinction peak in its extinction spectrum, and the peak position was dependent on the height of the gold nanodot array, and the change of extinction peak with the height could be predicted by the numerical simulation. In addition, the peak position was observed to be red-shifted with the increasing RIU value of the medium surrounding the gold nanodot array. In particular, the peak position in the 10 nm thick gold nanodot array was approximately 710 nm in air, and the sensitivity, defined as the ratio of the shift of peak position to the RIU of the medium, was 323.6 nm/RIU. The fabrication procedure could be applied to fabricate the LSPR substrates with a large area
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