A5076637587- Virtual Reality Applications and Impacts
- Advanced Vision and Imaging
- Tactile and Sensory Interactions
- Mobile Crowdsensing and Crowdsourcing
- Creativity in Education and Neuroscience
- Advanced Image and Video Retrieval Techniques
- Human Motion and Animation
- Human Pose and Action Recognition
- Privacy, Security, and Data Protection
- Spatial Cognition and Navigation
- Robotics and Sensor-Based Localization
- Interactive and Immersive Displays
- User Authentication and Security Systems
Technical University of Darmstadt
2020-2024
IoT devices deliver their functionality by accessing data. Users decide which data they are willing to share via privacy settings interfaces that typically on the device, or in app controlling it. Thus, users have interact with each device is time-consuming and might be overlooked. In this paper, we provide a stepping stone into multi-device interface for adjusting settings. We present three levels of information detail: 1) sensor name 2), about captured 3) detailed collected type including...
Sketching in virtual 3D environments has enabled new forms of artistic expression and a variety novel design use-cases. However, the lack haptic feedback proves to be one main challenges this field. While prior work investigated vibrotactile force-feedback devices, paper proposes addition thermal feedback. We present ThermalPen, pen for sketching that associates texture colour strokes with different properties. For example, fire elicits an increase temperature, while ice causes temperature...
Computer-supported posture guidance is used in sports, dance training, expression of art with movements, and learning gestures for interaction. At present, the influence display types visualizations have not been investigated literature. These factors are important as they directly impact perception cognitive load, hence performance participants. In this paper, we conducted a controlled experiment 20 participants to compare use five different screen sizes: smartphones, tablets, desktop...
Structure from Motion (SfM) plays a crucial role in unstructured capturing. While images are usually taken by perspective cameras, orthographic camera projections do not suffer the foreshortening effect, that leads to varying capturing quality image regions. Most contributions SfM assume setup with nearly infinite focal length. These assumptions lead potentially sub-optimal pose estimation. Therefore, we propose pipeline is optimized for orthographically projected images. For this, estimate...