The motivation of this paper is to examine the effectiveness of state-of-the-art and newly proposed motion capture pattern recognition methods in the task of head gesture classifications. The head gestures are designed for a user interface that utilizes a virtual reality helmet equipped with an.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960875PMC
http://dx.doi.org/10.3390/s19245408DOI Listing

Publication Analysis

Top Keywords

pattern recognition
8
recognition methods
8
virtual reality
8
reality helmet
8
helmet equipped
8
evaluation pattern
4
methods head
4
head gesture-based
4
gesture-based interface
4
interface virtual
4

Similar Publications

Purpose Of Review: The purpose of this review is to summarize the current understanding of cell-autonomous innate immune pathways that contribute to bone homeostasis and disease.

Recent Findings: Germ-line encoded pattern recognition receptors (PRRs) are the first line of defense against danger and infections. In the bone microenvironment, PRRs and downstream signaling pathways, that mount immune defense, interface intimately with the core cellular processes in bone cells to alter bone formation and resorption.

View Article and Find Full Text PDF

Introduction/objective: Several nutraceuticals, food, and cosmetic products can be developed using royal jelly. It is known for its potential health benefits, including its ability to boost the immune system and reduce inflammation. It is rich in vitamins, minerals, and antioxidants, which can improve general health.

View Article and Find Full Text PDF

Protonation states serve as an essential molecular recognition motif for biological processes. Their correct consideration is key to successful drug design campaigns, since chemoinformatic tools usually deal with default protonation states of ligands and proteins and miss atypical protonation states. The protonation pattern for the Endothiapepsin/PepstatinA (EP/pepA) complex is investigated using different dry lab and wet lab techniques.

View Article and Find Full Text PDF

Cardiovascular diseases (CVDs) continue to be a substantial global healthcare burden despite considerable progress in therapies. The inflammatory response during the progression of CVD has attracted considerable attention. Mitochondria serve as the principal energy source for the heart.

View Article and Find Full Text PDF

The aim of this study is to address the limitations of convolutional networks in recognizing modulation patterns. These networks are unable to utilize temporal information effectively for feature extraction and modulation pattern recognition, resulting in inefficient modulation pattern recognition. To address this issue, a signal modulation recognition method based on a two-way interactive temporal attention network algorithm has been developed.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!