Ubiquitous Movement Sensing
Course code
DTI7903.DT
old course code
Course title in Estonian
Kehakeskne liigutuste tuvastamine
Course title in English
Ubiquitous Movement Sensing
ECTS credits
3.0
Assessment form
assessment
lecturer of 2024/2025 Autumn semester
William Ruddock Primett (language of instruction:English)
lecturer of 2024/2025 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
The course provides a conceptual framework for developing narratives around sensory data by applying principles of movement qualities and auto-ethnographic design; combining multiple data sources to visualize and develop intriguing narratives around movement data based on personal experiences.
This is constructed through a series of seminars and activities, focusing on the following topics: Movement qualities, movement sensing hardware and data communication protocols, fabrication strategies, real-time interaction, data contextualisation and visualization strategies, auto-ethnographic design, and storytelling with data.
This is constructed through a series of seminars and activities, focusing on the following topics: Movement qualities, movement sensing hardware and data communication protocols, fabrication strategies, real-time interaction, data contextualisation and visualization strategies, auto-ethnographic design, and storytelling with data.
Brief description of the course
The course will provide an overview of body sensing approaches through activity tracking using embodied motion sensing supported by movement theory. A set of open source hardware and software tools will be presented to the students, following speculation upon wearable and embodied sensing applications, integrating sensors into clothing (wearables) and everyday objects (movables). From the frame of movement qualities, we consider ways to monitor behavior in a variety of situations and environments, evaluating the potential of being used in public spaces and operating outdoors. We will conclude with a prototyping workshop, allowing students to explore and implement new systems relevant to their own design criteria.
Learning outcomes in the course
Upon completing the course the student:
- is familiar with wearable sensor devices and data transmission protocols;
- uses data visualization strategies and multimodal data analysis;
- is able to contextualize sensor data by applying principles of movement qualities.
- is familiar with wearable sensor devices and data transmission protocols;
- uses data visualization strategies and multimodal data analysis;
- is able to contextualize sensor data by applying principles of movement qualities.
Teacher
William Ruddock Primett