Mobile Audiovisual Terminal: System Design and Subjective Testing in DECT and UMTS networks

It is anticipated that there will shortly be a requirement for multimedia terminals that operate via mobile communications systems. This paper presents a functional specification for such a terminal operating at 32 kb/s in a digital European cordless telecommunications (DECT) and universal mobile telecommunications system (UMTS) radio network. A terminal has been built, based on a PC with digital signal processor (DSP) boards for audio and video coding and decoding. Speech coding is by a phonetically driven code-excited linear prediction (CELP) speech coder and video coding by a block-oriented hybrid discrete cosine transform (DCT) coder. Separate channel coding is provided for the audio and video data. The paper describes the techniques used for audio and video coding, channel coding, and synchronization. Methods of subjective testing in a DECT network and in a UMTS network are also described. These consisted of subjective tests of first impressions of the mobile audio–visual terminal (MAVT) quality, interactive tests, and the completion of an exit questionnaire. The test results showed that the quality of the audio was sufficiently good for comprehension and the video was sufficiently good for following and repeating simple mechanical tasks. However, the quality of the MAVT was not good enough for general use where high-quality audio and video was needed, especially when transmission was in a noisy radio environment

Field test of quantum key distribution in the Tokyo QKD Network

A novel secure communication network with quantum key distribution in a metropolitan area is reported. Different QKD schemes are integrated to demonstrate secure TV conferencing over a distance of 45km, stable long-term operation, and application to secure mobile phones.Comment: 21 pages, 19 figure

Gestural Turing Test. A Motion-Capture Experiment for Exploring Believability In Artificial Nonverbal Communication.

One of the open problems in creating believable characters in computer games and collaborative virtual environments is simulating adaptive human-like motion. Classical artificial intelligence (AI) research places an emphasis on verbal language. In response to the limitations of classical AI, many researchers have turned their attention to embodied communication and situated intelligence. Inspired by Gestural Theory, which claims that speech emerged from visual, bodily gestures in primates, we implemented a variation of the Turing Test, using motion instead of text for messaging between agents. In doing this, we attempt to understand the qualities of motion that seem human-like to people. We designed two gestural AI algorithms that simulate or mimic communicative human motion using the positions of the head and the hands to determine three moving points as the signal. To run experiments, we implemented a networked-based architecture for a Vicon motion capture studio. Subjects were shown both artificial and human gestures, and were told to declare whether it was real or fake. Techniques such as simple gesture imitation were found to increase believability. While we require many such experiments to understand the perception of humanness in movement, we believe this research is essential to developing a truly believable character