Results 101 to 110 of about 1,588,862 (288)
Human motion recognition using gaussian processes classification
, 2008 This paper investigates the applicability of Gaussian processes (GP) classification for recognition of articulated and deformable human motions from image sequences.
Liang Wang +5 more
core +1 more source
Sparse distributed localized gradient fused features of objects [PDF]
, 2015 The sparse, hierarchical, and modular processing of natural signals is related to the ability of humans to recognize objects with high accuracy. In this study, we report a sparse feature processing and encoding method, which improved the recognition ...
Pappachen James, Alex +2 more
core +1 more source
Advanced Functional Materials, EarlyView.Rapid thermal annealing reconstructs the BCFO/Nb:STO interface into an atomically thin reconstructed interfacial layer, which reshapes the tunneling barrier and converts a high‐TER ferroelectric tunnel junction into an intrinsically nonlinear, self‐rectifying device.
Hojin Lee +21 more
wiley +1 more source
GDW-YOLO-based internal discharge spectral waveform recognition in GIS
Journal of Engineering and Applied ScienceGIS (Gas-insulated switchgear) is a critical component of modern power grids, and accurate awareness of its internal insulation condition is essential to power system safety.
Weiping Fu +4 more
doaj +1 more source
InnoHAR: A Deep Neural Network for Complex Human Activity Recognition
IEEE Access, 2019 Human activity recognition (HAR) based on sensor networks is an important research direction in the fields of pervasive computing and body area network. Existing researches often use statistical machine learning methods to manually extract and construct ...
Cheng Xu +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
SensorsThis paper presents the RaDICAL monostatic passive radar framework for target detection and localization using a sparse uniform circular array (SUCA), multifrequency dither, and dictionary-based waveform processing.
Vladimir Volman, James A. Nessel
doaj +1 more source
Advanced Healthcare Materials, EarlyView.In this study, we fabricate photovoltaic retinal implants with pyrolytic carbon electrodes and test their ability to stimulate mouse and pig retinas when illuminated with near‐infrared light. We find increased spiking activity in both animal models compared to spontaneous activity and TTX controls and analyze the spike amplitude, latency and frequency.
Akihiro Matsumoto +10 more
wiley +1 more source
Characteristics of Phonocardiography Waveforms that Influence Automatic Feature Recognition
2016 Computing in Cardiology Conference (CinC), 2016 Phonocardiography is a very common diagnostic test, especially for the study of heart valve function. However, this test is still almost entirely manual using a stethoscope because of the difficulties in analysing waveforms with excessive acoustic noise, and with subtle clinical characteristics requiring good hearing for detection.
Scott Stainton +3 more
openaire +2 more sources
Accuracy of a DTM derived from full-waveform laser scanning data under unstructured eucalypt forest: a case study [PDF]
, 2010 A Digital Terrain Model (DTM) is fundamental for extracting several forest canopy structure metrics from data acquired with small-footprint airborne laser scanning (ALS).
Gomes Pereira, L., Gonçalves, G.
core