"IEEE Sensors Alert" is a pilot project of the IEEE Sensors Council. Started as one of its new initiatives, this weekly digest publishes teasers and condensed versions of our journal papers in layperson's language.

Articles Posted in the Month (Nov 2020)

Fire Sensing Technologies: A Review

Author: Authors: Anshul Gaur, Abhishek Singh, Ashok Kumar, Kishor S. Kulkarni, Sayantani Lala, Kamal Kapoor, Vishal Srivastava, Anuj Kumar, and Subhas Chandra Mukhopadhyay

Published in: IEEE Sensors Journal (Volume: 19, Issue: 9, May 2019)

The progress on fire sensing technologies has been quite substantial due to advancements in sensing, information, and communications technologies. The sensing system’s hardware and algorithm ensure its excellent ability to detect early fire with less false positives. The information and communication technology focuses on issuing an early warning to notify the occupants and the fire department. Developing a robust fire system demands establishing the benchmark parameters for heat, flame, smoke, and gas levels detection in every fire scenario.

2 min read

November 9, 2020

Condensed Version

IEEE Xplore Version

Articles Posted in the Month (Oct 2020)

Sensing as a Service: Challenges, Solutions and Future Directions

Author: Xiang Sheng, Jian Tang, Xuejie Xiao and Guoliang Xue.

Published in: IEEE Sensors Journal (Volume: 13, Issue: 10, October 2013)

Mobile phones do have various sensors which are used for exciting sensing applications by creating a cloud computing platform. This could be used as crowd-sourced platform to create innumerable novel sensing applications which are energy-efficient too.

2 min read

October 5, 2020

Condensed Version

IEEE Xplore Version

Fetal Movement Detection by Wearable Accelerometer Duo Based on Machine Learning

Fetal movement monitoring is vital for fetal health. The accuracy of the maternal perception in monitoring fetal movement varies. In this work, a wearable device with two accelerometers and machine learning algorithms was developed for accurate and continuous fetal movement monitoring. It aims for accuracy comparable to ultrasound. The device showed promising results in fetal movement monitoring, potentially providing valuable insights into the fetal biological profile during the perinatal period.

Sensors and Systems for Wearable Environmental Monitoring Toward IoT-Enabled Applications: A Review

Environmental pollution has a significant impact on the health of the people and the atmosphere around them. The advancement in microelectronics, communication technologies, and miniature environmental sensing devices has boosted the wearable environmental monitoring systems (WEMS) to monitor environmental pollution. Since there is a strong interrelation between environmental pollution with the economic consequences and escalations in healthcare costs, wearable environmental devices are boon for society.