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Resolving Camera Position for a Practical Application of Gaze Estimation on Edge Devices
Van Ma, Linh, Tran, Tin Trung, Jeon, Moongu
Most Gaze estimation research only works on a setup condition that a camera perfectly captures eyes gaze. They have not literarily specified how to set up a camera correctly for a given position of a person. In this paper, we carry out a study on gaze estimation with a logical camera setup position. We further bring our research in a practical application by using inexpensive edge devices with a realistic scenario. That is, we first set up a shopping environment where we want to grasp customers gazing behaviors. This setup needs an optimal camera position in order to maintain estimation accuracy from existing gaze estimation research. We then apply the state-of-the-art of few-shot learning gaze estimation to reduce training sampling in the inference phase. In the experiment, we perform our implemented research on NVIDIA Jetson TX2 and achieve a reasonable speed, 12 FPS which is faster compared with our reference work, without much degradation of gaze estimation accuracy. The source code is released at https://github.com/linh-gist/GazeEstimationTX2.
Artificial intelligence author kicks off Friends of the Library nonfiction lecture series
Over the past few decades, a bunch of smart guys built artificial intelligence systems that have had deep impact on our everyday lives. But do they -- and their billion-dollar companies -- have the human intelligence to keep artificial intelligence safe and ethical? Questions like this are part of the history and overview of artificial intelligence in Cade Metz's book "Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World." On Monday, Jan. 17, Metz, a technology correspondent for The New York Times and former senior writer for Wired magazine, is the first speaker in the 2022 Nonfiction Author Series, sponsored by the nonprofit Friends of the Library of Collier County, which raises money for public library programs and resources. The lecture series includes breakfast and is being held this year at a new venue, the Kensington Country Club in Naples.
CHINA BUILD ROBOT THAT CAN 'READ MINDS' TESTED ON HUMANS WITH '96% ACCURACY'
Chinese scientists claim to have developed a wearable robot that can read a person's mind by monitoring brain waves and muscle activity. The machine, according to its creators, was able to "recognize human intention" with 96 percent accuracy. According to the Hong Kong-based newspaper South China Morning Post, the robot was tested at an assembly factory by developers at China Three Gorges University's Intelligent Manufacturing Innovation Technology Centre. According to the developers, the industrial robot not only monitored the worker's brain waves but also collected electric signals from muscles as it worked together to assemble a complex product. According to the developers, the robot was able to read a coworker's brain waves without the latter saying anything and pick up a tool and place it on the workstation. "In modern industrial manufacturing, assembly work accounts for 45 per cent of the total workload, and 20-30 per cent of the total production cost," project lead scientist Dong Yuanfa and his co-researchers said in a paper published in domestic peer-reviewed journal China Mechanical Engineering.
Machines and Influence
Policymakers face a broader challenge of how to view AI capabilities today and where does society stand in terms of those capabilities. This paper surveys AI capabilities and tackles this very issue, exploring it in context of political security in digitally networked societies. We extend the ideas of Information Management to better understand contemporary AI systems as part of a larger and more complex information system. Comprehensively reviewing AI capabilities and contemporary man-machine interactions, we undertake conceptual development to suggest that better information management could allow states to more optimally offset the risks of AI enabled influence and better utilise the emerging capabilities which these systems have to offer to policymakers and political institutions across the world. Hopefully this long essay will actuate further debates and discussions over these ideas, and prove to be a useful contribution towards governing the future of AI.