The Internet-of-Things based hand gestures using wearable sensors for human machine interaction

Author(s):  
Trung-Hieu Le ◽  
Thanh-Hai Tran ◽  
Cuong Pham

A Smart Cities focuses on the way we live. Smart governments are also acknowledged as augmentations of electronic governments based on the Internet of Things (IoT). There are many existing challenges in the environment such as, research in gadgets, framework and programming etc. Particularly, the Smart Cities are facing difficulties with IoT frameworks, systems administration, independent registration, wearable sensors, gadgets and systematization of aggregates including human beings as well as programming specialists. This paper incorporates role of Smart Cities in various domains such as smart infrastructure, smart building, smart security and so on. Moreover, the work depicts the IoT technologies for Smart Cities and the primary components along with the features of Smart Cities. This paper is based on technologies for Smart Cities which will benefit citizens by facilitating a platform for integrating all the resources and prompt communication of information. Furthermore, merits, demerits and main challenges of Smart Cities are discussed.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2466 ◽  
Author(s):  
Maryam Naseer Malik ◽  
Muhammad Awais Azam ◽  
Muhammad Ehatisham-Ul-Haq ◽  
Waleed Ejaz ◽  
Asra Khalid

The Internet of Things is a rapidly growing paradigm for smart cities that provides a way of communication, identification, and sensing capabilities among physically distributed devices. With the evolution of the Internet of Things (IoTs), user dependence on smart systems and services, such as smart appliances, smartphone, security, and healthcare applications, has been increased. This demands secure authentication mechanisms to preserve the users’ privacy when interacting with smart devices. This paper proposes a heterogeneous framework “ADLAuth” for passive and implicit authentication of the user using either a smartphone’s built-in sensor or wearable sensors by analyzing the physical activity patterns of the users. Multiclass machine learning algorithms are applied to users’ identity verification. Analyses are performed on three different datasets of heterogeneous sensors for a diverse number of activities. A series of experiments have been performed to test the effectiveness of the proposed framework. The results demonstrate the better performance of the proposed scheme compared to existing work for user authentication.


Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 603 ◽  
Author(s):  
Luís Nóbrega ◽  
Pedro Gonçalves ◽  
Paulo Pedreiras ◽  
José Pereira

Intelligent farming is one of the vast range of applications covered by the Internet of Things concept. Notwithstanding, such applications present specific requirements and constraints that are dependent on their purpose. A practical case on which that is particularly relevant is the SheepIT project, where an automated IoT-based system controls grazing sheep within vineyards, guaranteeing that they do not threaten cultures. Due to its rigid requirements, particularly regarding the deployment of the Wireless Sensor Network, Machine-2-Machine communications and necessary interactions with a computational platform available through the Internet, Internet Protocol-based solutions are not suitable. Consequently, a customized communication stack has been developed, that intends to meet the project requirements, from the physical to the Application Layers. Although it has been developed considering the SheepIT requirements, its use may be extended to more generic intelligent farming applications, since most of the requirements are directly related with the farming environment. This paper reviews the proposed stack and details the recent developments. Particularly, we focused on Internet of Things/Machine-2-Machine interaction, describing the design and deployment of a gateway that addresses the SheepIT service requirements. Additionally, and complementary to previously published results, we evaluate the gateway performance and show its feasibility and scalability in a real scenario.


2021 ◽  
pp. 130614
Author(s):  
Kshitij RB Singh ◽  
Vanya Nayak ◽  
Jay Singh ◽  
Ravindra Pratap Singh

2017 ◽  
Author(s):  
Alex X. Liu ◽  
Muhammad Shahzad ◽  
Xiulong Liu ◽  
Keqiu Li

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.


2019 ◽  
pp. 4-44 ◽  
Author(s):  
Peter Thorns

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.


2019 ◽  
Vol 14 (5) ◽  
pp. 375
Author(s):  
Vladimir P. Zhalnin ◽  
Anna S. Zakharova ◽  
Demid A. Uzenkov ◽  
Andrey I. Vlasov ◽  
Alexey I. Krivoshein ◽  
...  

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