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With Joël Gähwiler, Zurich University of the Arts (CH)
Wed 2 & Thu 3 May, 2018, 9:00 – 17:00
Learning Center, Aalto University

Real-Time Sensor Data Visualization – FULL

Joël Gähwiler, Zurich University of the Arts (CH)

Date: Wed 2 & Thu 3 May, 2018
Time: 9:00 – 17:00
Venue: Learning Centre, Aalto University
Venue details
Bring: Own laptop, preferably MacOs
Prerequisite: Basics in programming

Modern technology allows data to flow rapidly between systems. For example, data from sensor networks is often available immediately to allow algorithms to efficiently optimize and control systems. As these systems get more complex over time, visualizing these real-time data flows is gaining increasing importance as a tool for understanding what’s going on.

In this two-day workshop, we will look at different ways to visualize continuous streams of data. For that, we will use Processing to interpret and visualize real-time data emitted by an an electronic device. After a brief introduction to the technology kit, participants will enter an iterative design process in which they work towards a screen-based visualization to represent the gathered data. Learn and practice information design techniques for working with continuous and rapid data. The experiments are collected and shown at the exhibition accompanying the Visualizing Knowledge conference.

Joël Gähwiler is a research associate and head of the Physical Computing Lab Interaction Design, Zurich University of the Arts. His research is focused on the Internet and Things by which he seeks to formulate a design theory for networked artifacts: networkedartifacts.info



Real-Time Sensor Data Visualization – FULL

With Joël Gähwiler, Zurich University of the Arts (CH)
Wed 2 & Thu 3 May, 2018, 9:00 – 17:00
Learning Center, Aalto University

Real-Time Sensor Data Visualization – FULL

Joël Gähwiler, Zurich University of the Arts (CH)

Date: Wed 2 & Thu 3 May, 2018
Time: 9:00 – 17:00
Venue: Learning Centre, Aalto University
Venue details
Bring: Own laptop, preferably MacOs
Prerequisite: Basics in programming

Modern technology allows data to flow rapidly between systems. For example, data from sensor networks is often available immediately to allow algorithms to efficiently optimize and control systems. As these systems get more complex over time, visualizing these real-time data flows is gaining increasing importance as a tool for understanding what’s going on.

In this two-day workshop, we will look at different ways to visualize continuous streams of data. For that, we will use Processing to interpret and visualize real-time data emitted by an an electronic device. After a brief introduction to the technology kit, participants will enter an iterative design process in which they work towards a screen-based visualization to represent the gathered data. Learn and practice information design techniques for working with continuous and rapid data. The experiments are collected and shown at the exhibition accompanying the Visualizing Knowledge conference.

Joël Gähwiler is a research associate and head of the Physical Computing Lab Interaction Design, Zurich University of the Arts. His research is focused on the Internet and Things by which he seeks to formulate a design theory for networked artifacts: networkedartifacts.info



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Visualizing Knowledge 2018

Design. Reveal. Act.


4 May, 2018

Dipoli, Aalto University

Otakaari 24, 02150 Espoo,

Greater Helsinki, Finland

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