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Journal of Sensor and Actuator Networks, Volume 8, Issue 3

September 2019 - 13 articles

Cover Story: IoT-based smart systems leverage heterogeneous sensor deployment, real-time data collection, processing, and user feedback, with machine learning algorithms. This paper presents a smart system with separate hardware and software components that is able to accurately and non-intrusively detect the number of people in a smart environment and track their activities. Our framework can be very beneficial to several applications, such as healthcare, surveillance, and home automation, without causing any discomfort or privacy issues for the users. View this paper
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Articles (13)

  • Article
  • Open Access
19 Citations
12,448 Views
24 Pages

Falls are a main cause of injury for patients with certain diseases. Patients who wear health monitoring systems can go about daily activities without limitations, thereby enhancing their quality of life. In this paper, patient falls and heart rate w...

  • Article
  • Open Access
2 Citations
7,415 Views
12 Pages

One of the most common forgotten things of adults is that they go to the shops and completely forget what they went for. The solution to this problem is to carry a shopping list. In this project, a novel Internet of Things (IoT)-connected smart canis...

  • Article
  • Open Access
52 Citations
10,884 Views
15 Pages

A Comparison Survey Study on RFID Based Anti-Counterfeiting Systems

  • Ghaith Khalil,
  • Robin Doss and
  • Morshed Chowdhury

Counterfeiting has always been a concern, costing a significant amount of money and causing losses in international trading markets. Radio frequency identification (RFID) tag Anti-counterfeiting is a conceptual solution that has received attention in...

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J. Sens. Actuator Netw. - ISSN 2224-2708