Fast Emotion Recognition Neural Network for IoT Devices

Mikhaylevskiy, S.; Chernyavskiy, V.; Pavlishen, V.; Romanova, I. I.; Solovyev, Roman

doi:10.1109/sed51197.2021.9444517

Cited by 5 publications

(1 citation statement)

References 24 publications

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“…They also evaluate other kinds of machine learning models like multi-layer perceptron network (MLP) and convolution neural network (CNN), and the result indicates that SBC is practically acceptable regardless of the longer execution time. In [7], the researchers apply CNN model to recognize face image emotion on a Raspberry Pi 3. They conclude that their solution shows satisfactory results in proper tasks with a cost-effective hardware platform.…”

Section: Related Workmentioning

confidence: 99%

Untitled

2024

JST: SSAD

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Recent years have seen a rapid development of artificial-intelligence-based (AI-based) internet of things (IoT) systems and applications like real-time object detection systems, face identification, AI-based cameras, etc.Many of these utilize a compact-form computing device based on system-on-chip (SoC) embedded modules from different providers like Qualcomm, Renesas, Quectel, etc. One of the most popular and easy-to-access platforms both practically and academically is the Raspberry Pi computing device and other PI-like devices such as: Orange Pi, Banana Pi, Jetson Nano, etc. However, we realize that the existing platforms strongly focus on the computation aspect, while other important features such as communication, location, ease of integration with high-level operating systems are lacking or poorly supported (through the use of so-called HAT). Therefore, in this work we propose a design of a multi-purpose IoT platform with full integration of computation module, IO ports, communications, location and high-level operating system (Android). We also utilize this IoT platform in a variety of applications including data collection, location-based services and biometric identification. Those sample applications will be presented in our work together with the algorithm and testing result to demonstrate the practical use of our platform.

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Section: Related Workmentioning

confidence: 99%

Untitled

2024

JST: SSAD

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A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects

Shakeel

Habib

Boulila

et al. 2022

Complex Intell. Syst.

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Extensive research has been conducted on healthcare technology and service advancements during the last decade. The Internet of Medical Things (IoMT) has demonstrated the ability to connect various medical apparatus, sensors, and healthcare specialists to ensure the best medical treatment in a distant location. Patient safety has improved, healthcare prices have decreased dramatically, healthcare services have become more approachable, and the operational efficiency of the healthcare industry has increased. This research paper offers a recent review of current and future healthcare applications, security, market trends, and IoMT-based technology implementation. This research paper analyses the advancement of IoMT implementation in addressing various healthcare concerns from the perspectives of enabling technologies, healthcare applications, and services. The potential obstacles and issues of the IoMT system are also discussed. Finally, the survey includes a comprehensive overview of different disciplines of IoMT to empower future researchers who are eager to work on and make advances in the field to obtain a better understanding of the domain.

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AMIBO: intelligent social conversational agent using artificial intelligence

Virmani¹,

Gupta²

2023

The Imaging Science Journal

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Fast Emotion Recognition Neural Network for IoT Devices

Cited by 5 publications

References 24 publications

Untitled

Untitled

A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects

AMIBO: intelligent social conversational agent using artificial intelligence

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