ani8897/Human-Activity-Recognition

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Language
Python
Created over 7 years ago
Updated about 7 years ago

ani8897/Human-Activity-Recognition

ani8897

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Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

RSSI-based-Localization-using-ESP32

Wireless Networks [CS 743] Course Project - IIT Bombay Spring 2019

Image-Quilting-and-Texture-Synthesis

Digital Image Processing Course Project - IIT Bombay Fall 2018

Realtime-Action-Recognition

Contains code for C3D, LCN and TSM for action recognition models.

BLE-Packet-Sniffer

An android application which is useful in capturing BLE advertisement packets and storing the data collected in the phone storage as a csv file.

Spanning-Tree-Protocol

Implemented Spanning tree protocol and Learning Bridge algorithm in C++

IP-address-lookup-using-Tries

Sequential IP address lookup in the routing table of routers has complexity O(n). This lookup can be reduced to O(1) time complexity, trading of with the space complexity which can be exponential in the worst case i.e. exp(2,33) - 1 on implementing tries.

Chat-Application-OptiChat

A simple Chat Application using Socket Programming in Python.

Mosh

Coding MoSh: 'My own Shell!'.

Fractals

Drawing Different types of fractals using Dr. Racket

Census-Income

Task is to predict whether income exceeds $50K/yr based on census data by implementing a Neural Network from Scratch

Gravity-Simulation

Simulating Gravity among particles by approximating the forces between the particles using trees containing centre of masses of groups of particles

PLY-Compiler

Compiler written in ply