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RainCheck
- Source :
- ICMI
- Publication Year :
- 2018
- Publisher :
- ACM, 2018.
-
Abstract
- Modern smartphones are built with capacitive-sensing touchscreens, which can detect anything that is conductive or has a dielectric differential with air. The human finger is an example of such a dielectric, and works wonderfully with such touchscreens. However, touch interactions are disrupted by raindrops, water smear, and wet fingers because capacitive touchscreens cannot distinguish finger touches from other conductive materials. When users' screens get wet, the screen's usability is significantly reduced. RainCheck addresses this hazard by filtering out potential touch points caused by water to differentiate fingertips from raindrops and water smear, adapting in real-time to restore successful interaction to the user. Specifically, RainCheck uses the low-level raw sensor data from touchscreen drivers and employs precise selection techniques to resolve water-fingertip ambiguity. Our study shows that RainCheck improves gesture accuracy by 75.7%, touch accuracy by 47.9%, and target selection time by 80.0%, making it a successful remedy to interference caused by rain and other water.
- Subjects :
- Hazard (logic)
business.industry
Computer science
Conductive materials
Capacitive sensing
05 social sciences
020207 software engineering
Usability
02 engineering and technology
Interference (wave propagation)
Rainwater harvesting
law.invention
Touchscreen
law
0202 electrical engineering, electronic engineering, information engineering
0501 psychology and cognitive sciences
Computer vision
Artificial intelligence
business
050107 human factors
Gesture
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 20th ACM International Conference on Multimodal Interaction
- Accession number :
- edsair.doi...........c07b14bfa2b81a68de298c038188d265
- Full Text :
- https://doi.org/10.1145/3242969.3243028