B.O.G.G.L.E.S.: Boundary Optical GeoGraphic Lidar Environment System

The purpose of this paper is to describe a pseudo X-ray vision system that pairs a Lidar scanner with a visualization device. The system as a whole is referred to as B.O.G.G.L.E.S. There are several key factors that went into the development of this system and the background information and design approach are thoroughly described. B.O.G.G.L.E.S functionality is depicted through the use of design constraints and the analysis of test results. Additionally, many possible developments for B.O.G.G.L.E.S are proposed in the paper. This indicates that there are various avenues of improvement for this project that could be implemented in the future

Performance Evaluation of Aviation Headset in Indian Army

Passive hearing protective devices, referred also as ear defenders, work by obstructing noise propagation through the ear canal of the receiver. These gadgets are a popular choice as they offer high attenuation over a broad frequency range, though at times inadequately, especially in the low frequency region, as per International Standards of occupational exposure to noise. Upward masking of speech signal by low frequency noise also degrades the intelligibility of speech in noise that may lead to decrement in performance and hamper the safety of individualsworking in noisy occupational environments. Active noise reducing hearing protective devices lend the possibility of avoiding these problems particularly where the major acoustic energy is centered at low frequencies, rendering these active contraptions a powerful tool in preventing noise induced hearing loss without hampering speech/oralcommunication. Accordingly, the present study was undertaken to investigate the potential of Telex Stratus 30 Headset in providing protection against noise induced hearing loss and to evaluate its efficacy in improving the speech intelligibility of our Armed forces personnel working in different noise spectral environment

Practical Strategies for Integrating a Conversation Analyst in an Iterative Design Process

We present a case study of an iterative design process that includes a conversation analyst. We discuss potential benefits of conversation analysis for design, and we describe our strategies for integrating the conversation analyst in the design process. Since the analyst on our team had no previous exposure to design or engineering, and none of the other members of our team had any experience with conversation analysis, we needed to build a foundation for our interaction. One of our key strategies was to pair the conversation analyst with a designer in a highly interactive collaboration. Our tactics have been effective on our project, leading to valuable results that we believe we could not have obtained using another method. We hope that this paper can serve as a practical guide to those interested in establishing a productive and efficient working relationship between a conversation analyst and the other members of a design team.Comment: 11 page

A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey

The growing interest in the Metaverse has generated momentum for members of academia and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique, continuous, and shared virtual world where humans embody a digital form within an online platform. Through a digital avatar, Metaverse users should have a perceptual presence within the environment and can interact and control the virtual world around them. Thus, a human-centric design is a crucial element of the Metaverse. The human users are not only the central entity but also the source of multi-sensory data that can be used to enrich the Metaverse ecosystem. In this survey, we study the potential applications of Brain-Computer Interface (BCI) technologies that can enhance the experience of Metaverse users. By directly communicating with the human brain, the most complex organ in the human body, BCI technologies hold the potential for the most intuitive human-machine system operating at the speed of thought. BCI technologies can enable various innovative applications for the Metaverse through this neural pathway, such as user cognitive state monitoring, digital avatar control, virtual interactions, and imagined speech communications. This survey first outlines the fundamental background of the Metaverse and BCI technologies. We then discuss the current challenges of the Metaverse that can potentially be addressed by BCI, such as motion sickness when users experience virtual environments or the negative emotional states of users in immersive virtual applications. After that, we propose and discuss a new research direction called Human Digital Twin, in which digital twins can create an intelligent and interactable avatar from the user's brain signals. We also present the challenges and potential solutions in synchronizing and communicating between virtual and physical entities in the Metaverse

Active Noise Control in The New Century: The Role and Prospect of Signal Processing

Since Paul Leug's 1933 patent application for a system for the active control of sound, the field of active noise control (ANC) has not flourished until the advent of digital signal processors forty years ago. Early theoretical advancements in digital signal processing and processors laid the groundwork for the phenomenal growth of the field, particularly over the past quarter-century. The widespread commercial success of ANC in aircraft cabins, automobile cabins, and headsets demonstrates the immeasurable public health and economic benefits of ANC. This article continues where Elliott and Nelson's 1993 Signal Processing Magazine article and Elliott's 1997 50th anniversary commentary~\cite{kahrs1997past} on ANC left off, tracing the technical developments and applications in ANC spurred by the seminal texts of Nelson and Elliott (1991), Kuo and Morgan (1996), Hansen and Snyder (1996), and Elliott (2001) since the turn of the century. This article focuses on technical developments pertaining to real-world implementations, such as improving algorithmic convergence, reducing system latency, and extending control to non-stationary and/or broadband noise, as well as the commercial transition challenges from analog to digital ANC systems. Finally, open issues and the future of ANC in the era of artificial intelligence are discussed.Comment: Inter-Noise 202