Scalable autonic processing systems

Shaout, Adnan; Zaman, Najamuz; Eldos, Taisir

doi:10.1504/ijcat.2003.000307

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…This potential has not gone unobserved and many modern militaries, spurred by the lead of the United States (Scott & Hughes, 2003), are attempting to leverage the power of connected information systems and devices. Given the growing potential benefits of evolving network based technologies such as those of peer-to-peer networks (Kini, 2002), smart devices (Anonymous, 2003), grid-computing (Lais, 2002, Mitchell, 2002, and scalable autonic networking (Shaout, Eldos & Zaman, 2003) it can be expected that a network-centric military is achievable and possible in the near future.…”

Section: Technological Trends: Movement Towards the Network-centric Bmentioning

confidence: 99%

Remote Leadership

Kelley¹,

Kelloway²

2008

21st Century Management: A Reference Handbook

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Section: Technological Trends: Movement Towards the Network-centric Bmentioning

confidence: 99%

Remote Leadership

Kelley¹,

Kelloway²

2008

21st Century Management: A Reference Handbook

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TTA-Group Steer-by-Wire Working Group

Plankensteiner¹,

Buus-Jensen

Visgaard-Nielsen

et al. 2005

SAE Technical Paper Series

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AI Golf Coach: A Pose-Based Golf Coaching System using Artificial Intelligence and Computer Vision

Yu¹,

Sun²

2023

Advanced Information Technologies and Applications

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In the sport of golf, several main mechanics in each successful golf swing bring consistency [1]. In addition, there are specific nuances in the golf swing that may be difficult for recreational players to analyze and detect. The main question is how an app can potentially detect these main techniques and compare them when inputting two different golf swings. Guided by Mediapipe and cv2 technologies, we have built software to analyze two golf swings simultaneously, and to compare them with one another, all into a smartphone application [2][3]. This paper will discuss key technologies that were utilized to create the program, the various challenges that were faced in the process of creating the software, along with our methodologies [4]. The end result was an application that would detect various angles created based on certain golf positions, and then utilize them to compare with another video, whether that be a professional player or a friend’s golf swing. Using a Python backend and a Flutter-based frontend, the program can be utilized through a mobile device, and thus makes the program accessible to the public [5]. With the publishing of this application, users can start to deconstruct their own golf mechanics without the complications and the high fee that is generally charged for one-on-one coaching.

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Scalable autonic processing systems

Cited by 3 publications

References 4 publications

Remote Leadership

Remote Leadership

TTA-Group Steer-by-Wire Working Group

AI Golf Coach: A Pose-Based Golf Coaching System using Artificial Intelligence and Computer Vision

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