Abstract
E-healthcare games are a new patient care tool for providing fun, on-line monitoring enabled lifestyle, and a way for redefining traditional doctor-patient relationship. In this work, we demonstrate the use of intelligent sensors to capture patient behaviors for home healthcare. We design a new e-healthcare game user interface, iCube, for monitoring and recording patient activities. The iCube is a 3D game which has six display panels on the surfaces of a 3D cube embedded with a zigbee interface and some sensors for behavior monitoring. To prove its concept, we implement a Spot the Difference game. When a player is playing the game, the iCube can capture the player's hand shaking, rolling response, and visual capability. Those collected data are then sent to a database for spotting the progress/difference of the player over a long period time.
Original language | English |
---|---|
Pages | 416-417 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 2015 |
Event | 14th International Conference on Information Processing in Sensor Networks - Seattle, United States Duration: 13 Apr 2015 → 16 Apr 2015 http://ipsn.acm.org/2015/ |
Conference
Conference | 14th International Conference on Information Processing in Sensor Networks |
---|---|
Abbreviated title | IPSN'15 |
Country/Territory | United States |
City | Seattle |
Period | 13/04/15 → 16/04/15 |
Internet address |
Profiles
-
Edwin Ren
- School of Computing Sciences - Associate Professor in Computing Sciences
- Cyber Security Privacy and Trust Laboratory - Member
- Smart Emerging Technologies - Member
Person: Research Group Member, Academic, Teaching & Research