Human activity recognition on iOS using Swift, CoreMotion, and NeuralNet.
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Updated
Sep 7, 2017 - Swift
Human activity recognition on iOS using Swift, CoreMotion, and NeuralNet.
University project for core course WEB Systems and Programming.
Replay server responses from a HAR file, with some enhancements on the upstream version.
Reads GET requests from HAR file and converts them into JS fetch script
Quantization Experiments on CNNs for HAR
Javascript bindings for browsermob-proxy - record test network traffic
🧙♂️ MERN stack website (MongoDB + Express + React + NodeJS) that operates as a Crowdsourcing platform and allows users to upload, analyze and process their HAR Files (HTTP Archives)
An activity recognizer using a neural network implemented from scratch
Simple tool to quickly analyze .har files to identify issues with web app performance and network activity
My CSE707 TinyML Mini Project that uses esp32 s3 dev kit to detect composite human activites On-Device (ESP32)
A Kotlin library to parse HAR (HTTP Archive) files
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