Sit straight (and tell me what I did today): a human posture alarm and activity summarization system
CARPE '05 Proceedings of the 2nd ACM workshop on Continuous archival and retrieval of personal experiences
Posture monitoring and improvement for laptop use
CHI '07 Extended Abstracts on Human Factors in Computing Systems
SuperBreak: using interactivity to enhance ergonomic typing breaks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sensitive chair: a force sensing chair with multimodal real-time feedback via agent
Proceedings of the 14th European conference on Cognitive ergonomics: invent! explore!
Negotiating task interruptions with virtual agents for health behavior change
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
SMASH: a distributed sensing and processing garment for the classification of upper body postures
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Wearable therapist: sensing garments for supporting children improve posture
Proceedings of the 11th international conference on Ubiquitous computing
Limber: DIY wearables for reducing risk of office injury
Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction
| Hi-index | 0.00 |
Each day millions of computer users experience pains due to unhealthy computer habits. Research in this field mainly focuses on encouraging users to take breaks and correct their posture. This paper shows that unhealthy computer habits calls for new sensing solutions. Based on a design process including experts in the field of computer-related injuries, The Habit-Aware Mouse prototype was developed. It provides high-accuracy sensing of whether a user's fingers are hovering above the mouse. This kind of hovering is known to cause pains in the forearm. The integration of trans-parent sensing in existing products enables medical researchers to gain new insights on unhealthy habits. The Habit-Aware Mouse is a diagnostic sensing tool to get detailed knowledge about the user's unhealthy computer habits. Sensing is the first step to enable feedback, preventing injuries from finger hovering.