SPRING 2000 COURSE, CSE 597K:


MULTIMODAL

HUMAN-COMPUTER INTERACTION


3 credit, Meeting hours flexible, Schedule number  706506, Limited Enrollment.
Prerequisite: consent of instructor

MEETING TIMES -> Wed, 4:35 pm in room 302, POND LAB
(sometimes Mon, 4:35 in same room)

Lectures planned, progressive notes, references etc.

PAPERS

PROJECTS

Course description:

Recent advances in various signal processing technologies coupled with an explosion in the available computing power has given rise to a number of novel human-computer interaction (HCI) modalities - speech, vision-based gesture recognition, eye tracking, EEG, etc. Successful embodiment of these modalities into an interface has the potential of easing the HCI bottleneck that has become noticeable with the advances in computing and communication.  It has also become increasingly evident that the difficulties encountered in the analysis and interpretation of individual sensing modalities may be overcome by integrating them into a multimodal human-computer interface.

In this course we will examine research issues and recent progress in ``Multimodal Human-Computer Interaction'', i.e. use of more than one modalities for building a novel human-computer interface.  We will consider some of the emerging novel input modalities for HCI and the fundamental issues in integrating them at various levels - from early ``signal'' level, intermediate ``feature'' level, to late ``decision'' level. We will discuss the different computational approaches that may be applied at the different levels of modality integration. We will review several demonstrated multimodal HCI systems and applications, e.g. iMAP and QUICKSET. Despite all the recent developments, it is clear that further research is needed for interpreting and fusing multiple sensing modalities in the context of human-computer dialog.

The goal of this course is prepare the students for undertaking research in this exciting, emerging area.
 

Grading and Modus Operandi:

The course grade will be based upon class participation and project.
Expected class participation includes:

A semester-long class project that would include a programming assignment that is closely matched with the individual's interests in the general area of multimodal human-computer interaction. The successful completion of the class project would include the following stages:


For more information, contact the instructor:

Rajeev Sharma, Email him: rsharma@cse.psu.edu, or drop by his office: 317 Pond Lab, or call him: 863-0147.
 



More information about Rajeev Sharma's research can be obtained from his home page