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Digital Biomarker Identification for Parkinson’s Disease Using a Game-Based Approach

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Journal of Intelligent Learning Systems and Applications 2022年第4期14卷 89-95页

作者： ilman shazhaev Dimitry Mihaylov Abdulla Shafeeg Management Department Farcana United Arab Emirates China Branch of BRICS Institute of Future Networks Shenzhen China Science Department Farcana United Arab Emirates

Despite the fact that their neurobiological processes and clinical criteria are well-established, early identification remains a significant hurdle to effective, disease-modifying therapy and prolonged life quality. Gaming on computers, gaming consoles, and mobile devices has become a popular pastime and provides valuable data from several sources. High-resolution data generated when users play commercial digital games includes information on play frequency as well as performance data that reflects low-level cognitive and motor processes. In this paper, we review some methods present in the literature that is used for identification of digital biomarkers for Parkinson’s disease. We also present a machine learning method for early identification of problematic digital biomarkers for Parkinson’s disease based on tapping activity from Farcana-Mini players. However, more data is required to reach a complete evaluation of this method. This data is being collected, with their consent, from players who play Farcana-Mini. Data analysis and a full assessment of this method will be presented in future work.

关键词： Machine Learning Biomarker Parkinson’s Disease

Intelligent BCI Headphone for a Healthier and a Deeper Immersive Gameplay

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International Journal of Intelligence Science 2023年第2期13卷 23-32页

作者： ilman shazhaev Dmitry Mikhaylov Abdulla Shafeeg Management Department Farcana Dubai UAE Business Department National University of Singapore Queenstown Singapore Science Department Farcana Dubai UAE

The developments in the area of brain research by analysing brain activity of individuals have given rise to many useful applications, such as diagnosing mental disorders more efficiently, treatment of cognitive disorders, and developing of brain-computer interfaces for treatment, communication and entertainment purposes. However, the development of such applications is hindered by a shortage of easy-to-use and comfortable sensors, as well as a lack of high-quality brain activity data. In the first part of this paper, a review of the status of BCI applications is presented followed by a proposal of a framework for developing an intelligent BCI headphone that takes leverages of the huge amount of data coming from playing video games to let the players experience a full immersive gaming experience.

关键词： BCI Immersive Gaming Artificial Intelligence Videogames Health

Video Highlight of Farcana Streaming from Twitch

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Journal of Intelligent Learning Systems and Applications 2022年第4期14卷 107-114页

The Highlights are the most interesting, selling moments from video stream, which can make the viewer watch the entire video. They are like a shop window: everything that is bright and colorful goes there. Seeing them, the user can understand in advance what is inside the video. And they are more versatile than trailers: they can be made shorter or longer, embedded in different places in the user interface. The user sees a selection of highlights as soon as he gets to the website or watches a video clip on YouTube or even a section of a stream of a popular blogger/influencer. The user’s attention is immediately attracted by the most memorable shots. Naturally, it is becoming more tedious to manually create all video highlights, due to the immense amount of material that the highlights are needed for. Thus, creating an algorithm, capable of automating the process would make the process significantly simpler. Besides easing up the work, this process will pave the way to a whole set of new applications that before did not seem real. At the same time, this would be a new process where the AI would not need to be fully supervised by a human, but be capable of identifying and labeling the most interesting and attractive moments on screen. After doing a literature review on video highlight detection, this paper has utilized the model presented in the study by [1] to determine the possibility of attaining highlights from the Farcana 2.0 version Twitch video feed.

关键词： Highlights Intelligent System AI Algorithms

Intelligent Gaming Input Device for Tilt Recognition

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Journal of Intelligent Learning Systems and Applications 2022年第4期14卷 96-106页

作者： ilman shazhaev Dmitry Mikhaylov Abdulla Shafeeg Ekaterina Mulyarchik Farcana Dubai UAE BRICS Institute of Future Networks Shenzhen China School of Psychological Training of Sportsmen “Raise a Champion” Belarussia Minsk

Farcana has developed a smart a gaming input device, that, apart from being a tool for the gamer to use in the process of gameplay, is also a suitable tool to collect biomedical information about the gamer, which after analysis by the artificial intelligence (AI) system allows informing the gamer about whether the individual is in a state of tilt. Tilt itself is a poor emotional state of the individual that appears due to the latter’s inability to control one’s emotions in the process of gameplay. The gamer can be either winning or losing, yet the fact that he/she can neither control nor even acknowledge the emotional state is tilt. The latter is an immense factor of impact on the overall success of the individual in the sphere of gaming and one’s rating in cybersport. This paper has analyzed numerous studies and patents on the topic at hand. The available literature has provided the necessary insight on the topic of tilt and why it is important to help the gamer acknowledge one’s state, especially given deteriorating results. Also, we have proposed a framework for the AI system for tilt recognition.

关键词： Tilt Psychological State Gaming Cybersport Progress

针对迷宫寻径问题NAO多机器人定位模型和路径规划研究

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针对迷宫寻径问题NAO多机器人定位模型和路径规划研究

作者： shazhaev ilman（伊勒曼）哈尔滨工业大学

学位级别：硕士

近些年来,在移动机器人领域人们取得了巨大的进步,人们对低成本高性能的机器人的研究成为了学界的研究热点之一。定位和路径规划是机器人协作和多机器人系统是一个重要研究方向。本文基于多NAO机器人搭建实验平台,研究了机器人的定位模... 详细信息

近些年来,在移动机器人领域人们取得了巨大的进步,人们对低成本高性能的机器人的研究成为了学界的研究热点之一。定位和路径规划是机器人协作和多机器人系统是一个重要研究方向。本文基于多NAO机器人搭建实验平台,研究了机器人的定位模型、路径规划和走迷宫寻径问题。根据所建立的图像处理方法和定位模型得到了相应的图形信息,利用的图像处理技术,完成了位置特征和环境特征的识别。基于NAO机器人坐标系,获取环境特征的定位信息,来通过定位实验验证了定位模型和路径规划的可行性。基于建立的典型迷宫结构图,进行了多机器人协同迷宫寻径的研究。通过实验完成了多机器人之间的信息交换,并可以实时分享周围的环境信息。建立了相应的算法,根据编制的程序,利用分享的信息,机器人可以决定如何在迷宫中进行下一步行动。由于决策信息的实时共享,多个机器人比单个机器人更高效快捷地走出迷宫。根据实验结果,得到了解决迷宫问题的效率与机器人数量的关系,为多机器人迷宫寻径问题的解决提供了有价值的研究结果。

关键词： NAO 多机器人迷宫寻径定位模型路径规划