The Center for Ubiquitous Computing will be present this year at ACM MobileHCI’18 with three demos. Make sure to visit!

S3: Environmental Fingerprinting with a Credit Card-sized NFC Powered Sensor Board

People have become more aware about their environment and pay more attention to conditions, e.g., air quality, and UV light exposure. Conventional technologies for reading environmental conditions are expensive, bulky, situated, and do not meet people’s need for a mobile and portable tool for environmental fingerprinting on demand. We present a mobile-enabled client-server system for personalized environmental fingerprinting and crowdsourced environmental fingerprint datasets using a smartphone and a portable credit card-sized NFC powered sensor board.

Kennedy O. Asare, Tore Leikanger, Christian Schuss, Simon Klakegg, Aku Visuri, Denzil Ferreira (2018). S3: Environmental Fingerprinting with a Credit Card-sized NFC Powered Sensor Board. In ACM MobileHCI’18 (Demo), Barcelona.

The Gravity of Thought: Exploring Positively Surprising Interactions

We discuss the design and initial evaluation of Gravity of Thought Waterfall, which is designed to be a surprising and creative prototype. Users can control the visual “gravity” effect of the waterfall with an EEG headset. The potentially surprising interactions with the prototype are evaluated through a set of questionnaires and a survey. Results show that the designed prototype is perceived to be surprising and creative; almost all participants were positively surprised when interacting with it.

Yazan Barhoush, Miikka Mustonen, Dung Nguyen, Georgi V. Georgiev, Denzil Ferreira, Matti Pouke (2018). The Gravity of Thought: Exploring Positively Surprising Interactions. In ACM MobileHCI’18 (Demo), Barcelona.

Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream

The spread of smartphones allows us to freely capture video and diverse hardware sensors’ data (e.g., accelerometer, gyroscope). While recording such data is relatively simple, it is often challenging to share and restream this data to other people and applications. Such capability is very valuable for a range of applications such as a context-aware prototyping/developing platform, an integrated data recording and analysis tool, and a sensor-data based video editing system. To enable such complex operations, we propose Sen-bay, a platform for instant sensing, integrating, and restreaming multiple-sensor data streams. The platform embeds collected sensor data into a video frame using an animated two-dimensional barcode via real-time video processing. The video-embedded sensor data, dubbed Senbay Video, can be easily restreamed to other people and reused by data-rich, context-aware applications.

Yuuki Nishiyama, Takuro Yonezawa, Anind K. Dey, Jin Nakazawa, Denzil Ferreira (2018). Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream. In ACM MobileHCI’18 (Demo), Barcelona.