| 1. |
- Darrell, Trevor, et al.
(författare)
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Face-Responsive Interfaces : From Direct Manipulation to Perceptive Presence
- 2002
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Ingår i: Proceedings of the 4th international conference on Ubiquitous Computing. - : ACM Press. ; , s. 135-151
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Konferensbidrag (refereegranskat)abstract
- Systems for tracking faces using computer vision have recently become practical for human-computer interface applications. We are developing prototype systems for face-responsive interaction, exploring three different interface paradigms: direct manipulation, gazemediated agent dialog, and perceptually-driven remote presence. We consider the characteristics of these types of interactions, and assess the performance of our system on each application. We have found that face pose tracking is a potentially accurate means of cursor control and selection, is seen by users as a natural way to guide agent dialog interaction, and can be used to create perceptually-driven presence artefacts which convey real-time awareness of a remote space.
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| 2. |
- Salzmann, Mathieu, et al.
(författare)
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Factorized Orthogonal Latent Spaces
- 2010
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Ingår i: Proceedings of the 13th International Conferenceon Artificial Intelligence and Statistics (AISTATS) 2010.
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Konferensbidrag (refereegranskat)
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| 3. |
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| 4. |
- Shen, Xu, et al.
(författare)
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ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots
- 2020
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Ingår i: IEEE Intelligent Vehicles Symposium, Proceedings. ; , s. 1170-1175
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Konferensbidrag (refereegranskat)abstract
- We investigate the problem of predicting driver behavior in parking lots, an environment which is less structured than typical road networks and features complex, interactive maneuvers in a compact space. Using the CARLA simulator, we develop a parking lot environment and collect a dataset of human parking maneuvers. We then study the impact of model complexity and feature information by comparing a multi-modal Long Short-Term Memory (LSTM) prediction model and a Convolution Neural Network LSTM (CNN-LSTM) to a physics-based Extended Kalman Filter (EKF) baseline. Our results show that 1) intent can be estimated well (roughly 85% top-1 accuracy and nearly 100% top-3 accuracy with the LSTM and CNN-LSTM model); 2) knowledge of the human driver's intended parking spot has a major impact on predicting parking trajectory; and 3) the semantic representation of the environment improves long term predictions.
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| 5. |
- Tollmar, Konrad, et al.
(författare)
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Navigating in virtual environments using a vision-based interface
- 2004
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Ingår i: Proceedings of the third Nordic conference on Human-computer interaction. - New York, NY, USA : ACM. - 1581138571 - 9781581138573 ; , s. 113-120
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Konferensbidrag (refereegranskat)abstract
- Interacting and navigating virtual environments usually requires a wired interface, game console, or keyboard. The advent of perceptual interface techniques allows a new option: the passive and untethered sensing of users’ pose and gesture to allow them to maneuver through and manipulate virtual worlds. We describe new algorithms for interacting with 3-D environments using real-time articulated body tracking with standard cameras and personal computers. Our method is based on rigid stereo-motion estimation algorithms and can accurately track upper body pose in real-time. With our tracking system users can navigate virtual environments using 3-D gesture and body poses. We analyze the space of possible perceptual interface abstractions for full-body navigation, and present a prototype system based on these results. We finally describe an initial evaluation of our prototype system with users guiding avatars through a series of 3-D virtual game worlds.
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| 6. |
- Wang, Sy Bor, et al.
(författare)
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Multimodal communication error detection for driver-car interaction
- 2007
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Ingår i: ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL RA-1: ROBOTICS AND AUTOMATION, VOL 1. ; , s. 365-371
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Konferensbidrag (populärvet., debatt m.m.)abstract
- Speech recognition systems are now used in a wide variety of domains. They have recently been introduced incars for hand-free control of radio, cell-phone and navigation applications. However, due to the ambient noisein the car recognition errors are relatively frequent. This paper tackles the problem of detecting when suchrecognition errors occur from the driver’s reaction. Automatic detection of communication errors in dialoguebasedsystems has been explored extensively in the speech community. The detection is most often based onprosody cues such as intensity and pitch. However, recent perceptual studies indicate that the detection can beimproved significantly if both acoustic and visual modalities are taken into account. To this end, we present aframework for automatic audio-visual detection of communication errors.
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| 7. |
- Yeh, Tom, et al.
(författare)
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A picture is worth a thousand keywords : image-based object search on a mobile platform
- 2005
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Ingår i: CHI ’05 extended abstracts on Human factors in computing systems. - New York, NY, USA : ACM. ; , s. 2025-2028
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Konferensbidrag (refereegranskat)abstract
- Finding information based on an object’s visual appearance is useful when specific keywords for the object are not known. We have developed a mobile image-based search system that takes images of objects as queries and finds relevant web pages by matching them to similar images on the web. Image-based search works well when matching full scenes, such as images of buildings or landmarks, and for matching objects when the boundary of the object in the image is available. We demonstrate the effectiveness of a simple interactive paradigm for obtaining a segmented object boundary, and show how a shape-based image matching algorithm can use the object outline to find similar images on the web.
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| 8. |
- Yeh, Tom, et al.
(författare)
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IDeixis : image-based Deixis for finding location-based information
- 2004
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Ingår i: CHI ’04 extended abstracts on Human factors in computing systems. - New York, NY, USA : ACM. ; , s. 781-782
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Konferensbidrag (refereegranskat)abstract
- We demonstrate an image-based approach to specifying location and finding location-based information from camera-equipped mobile devices. We introduce a point-by-photograph paradigm, where users can specify a location simply by taking pictures. Our technique uses content-based image retrieval methods to search the web or other databases for matching images and their source pages to find relevant location-based information. In contrast to conventional approaches to location detection, our method can refer to distant locations and does not require any physical infrastructure beyond mobile internet service. We have developed a prototype on a camera phone and conducted user studies to demonstrate the efficacy of our approach compared to other alternatives.
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