Facial expression recognition using histogram of oriented gradients based transformed features
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0921-5
Abstract: Facial expression recognition has been an emerging and long standing research problem in last two decades. Histograms of oriented gradients (HOGs) have proven to be an effective descriptor for preserving the local information using orientation… read more here.
Keywords: facial expression; recognition using; oriented gradients; expression recognition ... See more keywords
Automatic short utterance speaker recognition using stationary wavelet coefficients of pitch synchronised LP residual
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-021-09895-z
Abstract: Automatic speaker recognition (ASR) is a challenging task when the duration of the test speech is very short i.e., a few seconds. Source features extracted from short speech utterances are shown to be effective for… read more here.
Keywords: stationary wavelet; speaker recognition; speaker; recognition using ... See more keywords
Stomach Deformities Recognition Using Rank-Based Deep Features Selection
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1466-3
Abstract: Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to identify patient’s deformity during the review time. Among set of clinical technologies, wireless capsule endoscopy (WCE) is an advanced procedures used… read more here.
Keywords: deformities recognition; features selection; stomach deformities; recognition using ... See more keywords
Sketch recognition using transfer learning
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7067-1
Abstract: Humans have an excellent ability to recognize freehand sketch drawings despite their abstract and sparse structures. Understanding freehand sketches with automated methods is a challenging task due to the diversity and abstract structures of these… read more here.
Keywords: recognition; recognition using; transfer learning; sketch recognition ... See more keywords
Latent-MVCNN: 3D Shape Recognition Using Multiple Views from Pre-defined or Random Viewpoints
Sign Up to like & getrecommendations! Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10268-x
Abstract: The Multi-view Convolution Neural Network (MVCNN) has achieved considerable success in 3D shape recognition. However, 3D shape recognition using view-images from random viewpoints has not been yet exploited in depth. In addition, 3D shape recognition… read more here.
Keywords: recognition using; view; shape recognition; random viewpoints ... See more keywords
Crop pest recognition using attention-embedded lightweight network under field conditions
Sign Up to like & getrecommendations! Published in 2021 at "Applied Entomology and Zoology"
DOI: 10.1007/s13355-021-00732-y
Abstract: Plant pests have a negative effect on crop yields. If the various insect pests are not identified and controlled properly, they can spread quickly and cause a significant decline in agricultural production. To overcome the challenges,… read more here.
Keywords: pest recognition; attention; crop pest; network ... See more keywords
Fish species recognition using an improved AlexNet model
Sign Up to like & getrecommendations! Published in 2020 at "Optik"
DOI: 10.1016/j.ijleo.2020.165499
Abstract: Abstract The ability to differentiate between various species of fish plays an essential role in protecting its population, as well as the fishery industry. However, traditional machine learning algorithms are incapable of recognizing images with… read more here.
Keywords: fish species; recognition; model; recognition using ... See more keywords
Anion recognition using a simple cyclic peptide
Sign Up to like & getrecommendations! Published in 2020 at "Supramolecular Chemistry"
DOI: 10.1080/10610278.2020.1732377
Abstract: ABSTRACT The head-to-tail cyclic hexapeptide, [cyclo(Val-Thr)3], was found to bind to a range of anions in DMSO-d6 with higher affinity for tetrahedral oxo-anions than halides. 1H NMR spectroscopy indicated that anion binding results in an… read more here.
Keywords: anion; using simple; cyclic peptide; recognition using ... See more keywords
Spectrum-Based Hand Gesture Recognition Using Millimeter-Wave Radar Parameter Measurements
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2923122
Abstract: Radar sensors offer several advantages over optical sensors in the gesture recognition for remote control of electronic devices. In this paper, we investigate the feasibility of human gesture recognition using the spectra of radar measurement… read more here.
Keywords: millimeter wave; radar; recognition using; gesture recognition ... See more keywords
HCI on the Table: Robust Gesture Recognition Using Acoustic Sensing in Your Hand
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2973305
Abstract: The paper proposes a new HCI mechanism for device-free gesture recognition on the table using acoustic signal, which can extend the gesture input and interactions beyond the tiny screen of mobile device and allow users… read more here.
Keywords: using acoustic; gesture; hci; recognition using ... See more keywords
Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3117667
Abstract: With recent advances in the field of sensing, it has become possible to build better assistive technologies. This enables the strengthening of eldercare with regard to daily routines and the provision of personalised care to… read more here.
Keywords: approach; activity recognition; recognition using; deep learning ... See more keywords