Search results for "spectrogram"
showing 4 items of 34 documents
WiHAR : From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition
2020
A robust and unobtrusive human activity recognition system is essential to a multitude of applications, such as health care, active assisted living, robotics, sports, and tele-immersion. Existing well-performing activity recognition methods are either vision- or wearable sensor-based. However, they are not fully passive. In this paper, we develop WiHAR—an unobtrusive Wi-Fi-based activity recognition system. WiHAR uses the Wi-Fi network interface card to capture the channel state information (CSI) data. These CSI data are effectively processed, and then amplitude and phase information is used to obtain the spectrogram. In the subsequent step, the time-variant mean Doppler shift (MDS) caused …
Patskaņu izrunas īpatnības skotu angļu valodā (korpusā SCOTS)
2018
Skotijas vēsture un pašreizējie apstākļi ir multilingvāli un tur lietotā angļu valoda atšķiras no citur lietotajām angļu valodas paveidiem ar tās izrunas modeli. Šī darba mērķis ir patskaņu izpēte skotu standarta angļu valodā, lai raksturotu tās patskaņu sistēmu salīdzinājumā ar standarta britu angļu valodu un novērotu kādas iespējamās līdzības. Šī mērķa sasniegšanai izmantotā metode ir patskaņu formantu akustiskā kvantitatīvā analīze, kurai paraugi ņemti no Skotu Tekstu un Runas Korpusa (Scottish Corpus of Texts&Speech). Pētījuma rezultāti atklāj, ka skotu angļu valodas lietotājiem ir atšķirīgi patskaņu inventāri un patskaņu artikulācijas veids var atšķirties starp dažādām lietotāju grupām…
A 3D Non-Stationary Cluster Channel Model for Human Activity Recognition
2019
Author's accepted manuscript. © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This paper proposes a three-dimensional (3D) non- stationary fixed-to-fixed indoor channel simulator model for human activity recognition. The channel model enables the formulation of temporal variations of the received signal caused by a moving human. The moving human is modelled by …
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music
2016
During real-world experiences, determining the stimulus-relevant brain activity is excitingly attractive and is very challenging, particularly in electroencephalography. Here, spectrograms of ongoing electroencephalogram (EEG) of one participant constructed a third-order tensor with three factors of time, frequency and space; and the stimulus data consisting of acoustical features derived from the naturalistic and continuous music formulated a matrix with two factors of time and the number of features. Thus, the multilinear partial least squares (PLS) conforming to the canonical polyadic (CP) model was performed on the tensor and the matrix for decomposing the ongoing EEG. Consequently, we …