rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] 🏆 Winner of compact track of IJCB 2023 Efficient Face Recognition Competition

Education kit for teaching graphics and 3D mobile game development on Arm Mali GPUs with lectures and practical labs (educational)

Samurai Game is an exciting cross-platform mobile adventure developed with Godot Engine, immersing players in a captivating samurai-themed world. Collect skulls, battle enemies with unique abilities, and master the art of arrow deflection.

This is my Masters thesis project titled "Speaker Detection and Conversation Analysis on Mobile Devices".

CSC702: Mobile Communication and Computing [MCC] & CSL702: Mobile Application Development Lab [MAD Lab] | BE Semester VII | Computer Engineering

Android application designed to streamline the ordering and delivery process, coupled with a loyalty campaign, encourages customers to pre-compose their orders.

✨✨ 📡 Official repository of paper "Robust Biometric Information Sensing With mmWave Radar System-on-Chip" (IEEE TMC) ✨✨

Mondrian: Edge-Enabled High-Performance Video Analytics with Compressive Mixed Inference

Our main website!

This is the official artifact for EMSAssist paper on MobiSys'23. EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services

☁️ 📲 🔥 A project based in Mobile and Pervasive Computing. This project was built using Arduino, C++ (C Plus Plus), Java, Android and Google App Engine. The scenario chosen for this project was to combat forest fires with the use of sensors and actuators, to detect and prevent fire occurrences in forests, as also, collect and analyse data from th…

A Computational Offloading Framework for Object Detection in Mobile Devices

Source code of the numerical experiments presented in "Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce" by Antoine Paris, Hamed Mirghasemi, Ivan Stupia and Luc Vandendorpe (presented at SPAWC19).

Data analysis codes for the K-EmoPhone dataset

Cognitive Service Composition. COPERNIC stands for COgnitively-inspired Pervasive middlEware for emeRgeNt ServIce Composition. This framework allows you to perform service composition using distributed services on a pervasive computing environment with multiple devices.

A collaborative care coordination app prototype for CP3406, built with Jetpack Compose, Kotlin, and a modern MVVM architecture.

IR distributed on Mobile Cloud

Mobile Computing Assignments at IIITD '24 (CSE 535)