Pre-processing methods for mHealth and wearables data.
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Updated
May 14, 2023 - Python
Pre-processing methods for mHealth and wearables data.
Custom TensorFlow2 implementations of forward and backward computation of soft-DTW algorithm in batch mode.
Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging
Generating Time Series Prototypes with ShapeDTW Barycenter Averaging
Visualization of Elastic Warping of Time Series Data
We are given 2 different problems to solve. 1. Isolated spoken digit recognition 2. Telugu Handwritten character recognition Both these datasets were given as a time series. 2 different methods were used to solve each of the problem: 1. Dynamic Time Warping 2. Hidden Markov Models
⌨️ Keystroke Dynamics open srouce library
TSGEM_Clustering can identify pattern changes of gene expression over time
An application that automatically scores your mimics
A simple, low-dependency package for aligning sentences by minimizing a chosen metric.
D-FACE_HUNTER: Open Source Facial Recognition System for ARM64 : Deterministic Algorithms 1:1 & 1:N with Anti-Spoofing Liveness Detection/ No Cloud / On Premise
The script generates two signals with different frequencies and align them in a time domain by computing distance matrix
This project explores the classification of time series data using the Dynamic Time Warping (DTW) technique combined with the k-Nearest Neighbors (k-NN) algorithm
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