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Smartphone camera based pointer (2004.08030v1)

Published 17 Apr 2020 in cs.HC, cs.CV, and cs.MM

Abstract: Large screen displays are omnipresent today as a part of infrastructure for presentations and entertainment. Also powerful smartphones with integrated camera(s) are ubiquitous. However, there are not many ways in which smartphones and screens can interact besides casting the video from a smartphone. In this paper, we present a novel idea that turns a smartphone into a direct virtual pointer on the screen using the phone's camera. The idea and its implementation are simple, robust, efficient and fun to use. Besides the mathematical concepts of the idea we accompany the paper with a small javascript project (www.mobiletvgames.com) which demonstrates the possibility of the new interaction technique presented as a massive multiplayer game in the HTML5 framework.

Summary

  • The paper presents a novel interaction technique that transforms smartphone cameras into virtual pointers for large-screen displays.
  • It employs a coordinate transformation algorithm and color tracking to achieve real-time and accurate positional detection.
  • Evaluations highlight its potential for enhancing interactive applications such as multiplayer gaming and dynamic presentations.

Exploring the Integration of Smartphones as Virtual Pointers for Large Display Interaction

The academic paper analyzed herein proposes a novel integration of smartphone capabilities into interactive technologies with large-screen displays. By leveraging the omnipresence and robust features of modern smartphones, particularly their cameras, it introduces an interaction technique that allows a smartphone to function as a direct virtual pointer. This solution presents a relatively simple approach with potential applications in both the fields of entertainment and professional presentations.

Conceptual Foundation and Technical Implementation

The research leverages the increase in functionality of smartphone cameras and computational power to develop an intuitive interaction modality. The core concept revolves around using a smartphone's camera to detect the edges of a large screen, thus transforming the device into a virtual pointer capable of interacting with the display's content in real-time. The interaction is enabled by a client-server architecture, where the smartphone acts as a client relaying positional data to a screen-based server.

The implementation rests on a rudimentary coordinate transformation algorithm. This algorithm accurately calculates where the smartphone camera is aimed by using the positions of visible edges or corners of the display, enabling seamless and precise interaction on-screen. The use of color tracking through a JavaScript library enables the detection of these screen edges. While the technique currently relies on visible markers, such as colored edges around the screen, the authors express the potential for future markerless implementations utilizing machine learning and neural network advancements.

Evaluation and Challenges

Through experimental evaluation, the interaction system exhibits promising results across multiple user groups, demonstrating novel user experiences when interfacing via their smartphones. The practical implementation has unpredictabilities, such as environmental color distractions and keystoning effects caused by viewing angles. While these present challenges, the system's flexibility and low latency make it suitable for applications like real-time multiplayer gaming on large displays.

Implications and Future Development

The technology outlined not only presents an innovative solution to an oft-frustrating issue in user-screen interaction but possesses the potential to elevate interactive experiences by providing a uniquely dynamic and interactive layer to presentations and gaming. Its capacity to enable large-scale user interactions on a single screen introduces intriguing paradigms for multiplayer gaming, potentially reshaping communal digital entertainment experiences.

Further research may explore the refinement of markerless tracking methodologies, potentially employing neural networks for more sophisticated and resource-efficient image processing. Such advancements would nullify the need for visible screen markers and expand operational contexts to more complex environments, reinforcing the versatility and applicability of this concept.

In summation, this paper initiates a conversation about the facilitation of more engaging and interactive environments through the bridging of smartphone technology and large displays, heralding exciting possibilities for the domain of human-computer interaction.

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