The CARP Mobile Sensing Framework – A Cross-platform, Reactive, Programming Framework and Runtime Environment for Digital Phenotyping

by   Jakob E. Bardram, et al.

Mobile sensing - i.e., the ability to unobtrusively collect sensor data from built-in phone sensors - has long been a core research topic in Ubicomp. A number of technological platforms for mobile sensing have been presented over the years and a lot of knowledge on how to facilitate mobile sensing has been accumulated. This paper presents the CARP Mobile Sensing (CAMS) framework, which is a modern cross-platform (Android / iOS) software architecture providing a reactive and unified programming model that emphasizes extensibility, maintainability, and adaptability. Moreover, the CAMS framework supports sensing from wearable devices such as an electrocardiography (ECG) monitor, and configuring data transformers. The latter allows to transform collected data to a standardized data format and to implement privacy-preserving data transformations. The paper presents the design, architecture, implementation, and evaluation of CAMS, and shows how the framework has been used in two real-world mobile sensing and mobile health (mHealth) applications. We conclude that CAMS provides a novel cross-platform application programming framework which has proved mature, stable, scalable, and flexible in the design of digital phenotyping and mHealth applications


page 9

page 15

page 17


ParmoSense: A Scenario-based Participatory Mobile Urban Sensing Platform with User Motivation Engine

Rapid proliferation of mobile devices with various sensors have enabled ...

Learning Shallow Detection Cascades for Wearable Sensor-Based Mobile Health Applications

The field of mobile health aims to leverage recent advances in wearable ...

The Case for MUSIC: A Programmable IoT Framework for Mobile Urban Sensing Applications

This vision paper presents the case for MUSIC, a programmable framework ...

FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems

Mobile crowdsensing allows data collection at a scale and pace that was ...

Eliminating the Barriers: Demystifying Wi-Fi Baseband Design and Introducing the PicoScenes Wi-Fi Sensing Platform

Research on Wi-Fi sensing over the past decade has been thriving, but no...

Please sign up or login with your details

Forgot password? Click here to reset