Deep Learning-Based Gait Recognition Using Smartphones in the Wild
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Updated
Jan 31, 2024 - Jupyter Notebook
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
ESP32 firmware that sniffs PROBE REQUEST packets sent from smartphones looking for a Wi-Fi connection in order to extract different types of information
Rendering Realistic Bokeh Images with PyNET
An Android app for turning the screen off while keeping apps running.
Mobile application for exploring fitness data using both speech and touch interaction.
Shared Shell Script Libraries https://shlibs.github.io/shlibs.sh/
Gaze Estimation Framework with Android Firebase
Therminator: Thermal Simulator for Portable Devices
You can use setupTermuxArch.sh 📲 to install Arch Linux in Termux on Android and Chrome. This setup script will attempt to set Arch Linux up in your Termux environment.
This PHP SDK provides access to the standardized technical specifications of over 19,000 consumer electronics devices, including the latest smartphones, tablets, smartwatches, laptops, and more.
🔋 Android power monitor hardware with Arduino.
Progamtically get the standardized specs of over 61,000 consumer electronics devices, including the latest smartphones, tablets, smartwatches, laptops, and more.
A captive portal redirect to a phishing page using the ESP8266, highlighting the vulnerability of smartphones to prompt the user to "Sign In" to the captive portal.
Accurately Locate Smartphones using Social Engineering
In this project, our prime focus was to predict human activity by using the smartphone’s sensors. The tasks associated with this project were the classification and clustering of humans on the basis of their activities.
A proof of concept for remote monitoring epilepsy patients using sezect Android app
Knowledge base around smartphones
An application that allows you to control remotely Sony Bravia TV.
Multiple Connected Residual Network for Image Enhancement on Smartphones (ECCVW 2018)
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