Discover @denzilferreira Open Source projects

Denzil Ferreira (@denzilferreira)

denzilferreira

Stars
139
Global Rank 162,945 (Top 6 %)
Followers 80
Following 4
Registered over 10 years ago
Most used languages

Java
66.7 %

Kotlin
26.7 %

PHP
6.7 %
Location 🇫🇮 Finland
Country Total Rank 753
Country Ranking

Kotlin
30

Java
50

PHP
115

aware-client

AWARE's Android client. This application allows researchers to easily collect sensor/plugin data locally or remotely to an AWARE server instance.

aware-micro

aware-server

AWARE Server Dashboard

aware-plugin-template

This is a template plugin project. It is prepared to fetch the latest version of the library.

com.aware.plugin.studentlife.audio_final

This plugin detects if the user is engaged in a conversation or not. It follows a duty cycle of 1 minute audio collection, 3 minutes pause. It does not store the raw audio (it's disabled).

Encounter

Encounter is an automated, privacy-aware, non-siloed co-presence contact tracing logging tool that could be useful to tackle the spread of this and future virus outbreaks.

com.aware.plugin.upmc.cancer

This is a standalone application for UPMC Oncology collaboration with Dr. Carissa Low for different studies (codenamed Rhythms, sQoL, Dash, respectively)

com.aware.plugin.fitbit

This plugin collects data from a Fitbit wearable device: calories, steps, heart-rate, sleep with intraday granularity.

UBISS-demo

com.aware.plugin.esense.io

PEHMO

Application for PEHMO research project.

com.aware.plugin.ambient_noise

This plugin measures the ambient noise (Hz, dB), and classifies the sample as noisy or silent moments (>50dB for noisy environments)

com.aware.plugin.weka_test

Testing integrating AWARE with WEKA generated ML models.

com.aware.plugin.device_usage

This plugin measures usage and non-usage sessions by using the screen sensor. We consider a usage session from the moment the user unlocks the phone to when it's locked again. Non-usage from the moment it's locked until it's unlocked again.

com.aware.plugin.google.activity_recognition

Plugin that uses Google Location APIs to capture users mode of transportation: still, walking, running, biking, in vehicle (car, bus).