• SAFT: Study of Sensor Unit for Fall Prevention in Blocked Vision
SAFT: Study of Sensor Unit for Fall Prevention in Blocked Vision
SAFT: Study of Sensor Unit for Fall Prevention in Blocked Vision

SAFT: Study of Sensor Unit for Fall Prevention in Blocked Vision


Publication/Creation Date
September 9 2015
Creators/Contributors
Kaywon University Of Art And Design (contributor)
Kookmin University (contributor)
Jin Hyun Park (creator)
In Jin Baek (creator)
Si Ji Han (creator)
Young Eun Moon (creator)
Media Type
Journal Article
Persuasive Intent
Academic
Description
This is a subsequent study of SAFT project. Through the prototype test, we are looking for new project idea is fit for purpose of SAFT. In this study, ideation was carried out for the unit which is designed to prevent from falls which might cause even death of a firefighter. Based on the ideation process, the low-fidelity prototype was built. 8 males in the age of 20’s were selected and asked to walk in the room with no light before and after wearing the prototype. With the help of prototype, they could experience that they even make as bigger strides as they walk in bright places. Therefore, further study will be needed to focus on sensor position and design where people are likely to fall by use of various sensors and explore appropriate feedback for making prompt reaction responding to danger alarm sound in middle of firefighting operations.

From the Kaywon University of Art and Design and the Dept. of Interaction Design Graduate School of Techno Design at Kookmin Unversity.
HCI Platform
Wearables
Discursive Type
Inventions
Location on Body
Head, Feet

Date archived
October 31 2015
Last edited
November 22 2018
How to cite this entry
Jin Hyun Park, In Jin Baek, Si Ji Han, Young Eun Moon. (September 9 2015). "SAFT: Study of Sensor Unit for Fall Prevention in Blocked Vision ". 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication (UbiComp/ISWC 2015 Adjunct). International Joint Conference On Pervasive And Ubiquitous Computing Adjunct Publication. Fabric of Digital Life. https://fabricofdigitallife.com/Detail/objects/1337