Results 151 to 160 of about 214,941 (284)
Surface EMG-Based Hand Gesture Recognition Using a Hybrid Multistream Deep Learning Architecture. [PDF]
Çelik Y, Can U.
europepmc +1 more source
Real-Time Monocular Skeleton-Based Hand Gesture Recognition Using 3D-Jointsformer. [PDF]
Zhong E +4 more
europepmc +1 more source
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Benchmarking YOLOv8 to YOLOv13 for robust hand gesture recognition in human-robot interaction. [PDF]
Gao Y +5 more
europepmc +1 more source
Novel Muscle Sensing by Radiomyography (RMG) and Its Application to Hand Gesture Recognition. [PDF]
Zhang Z, Kan EC.
europepmc +1 more source
This plot compares experimental tensile stress–strain curves (with 4 different strain rates) and corresponding modelled curves (obtained using the optimised sets of Voce and Miller–Norton parameter values shown). The inferred M‐N values, characterizing the creep, are very similar to those obtained via conventional creep testing.
S. Ooi, R. P. Thompson, T. W. Clyne
wiley +1 more source
Saliency-Driven Hand Gesture Recognition Incorporating Histogram of Oriented Gradients (HOG) and Deep Learning. [PDF]
Jafari F, Basu A.
europepmc +1 more source
openaire +1 more source
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar +7 more
wiley +1 more source
L-SHADE optimized learning framework for sEMG hand gesture recognition. [PDF]
Gehlot N +5 more
europepmc +1 more source

