📢 Latest Update: Is the UGC CARE List Still Valid in 2026? New Guidelines for Selecting Peer-Reviewed Journals View Now

Recent Trends in Sensor Research & Technology Cover

Recent Trends in Sensor Research & Technology

E-ISSN: 2393-8765 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Recent Trends in Sensor Research & Technology Recent Trends in Sensor Research & Technology [2393-8765(e)] is a peer-reviewed hybrid open-access journal launched in 2014 aiming to publish original, rigorous, and scholarly contributions in the field of Sensor research and technology. The … Journal intends to publish Research/Review/Short articles in the area of Sensor research.

View full focus & scope More

Journal Information

Title: Recent Trends in Sensor Research & Technology
Abbreviation: rtsrt
Issues Per Year: 3 Issues
E-ISSN: 2393-8765
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/RTSRT
Starting Year: 2014
Subject: Sensor Research & Technology
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

View Full Editorial Board

rtsrt maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Prof. Gopinath Palai, Professor

Gandhi Institute for Technological Advancement, Orissa, India,

Email :

Latest Articles

Ahead of Print

Generative AI in Human Fitness: Wearable-Aware Personalized Coaching with Multimodal Intelligence

This review presents a practical architecture for applying large language models and multimodal artificial intelligence to human fitness while preserving the roles of wearable sensing, evidence-based exercise guidance and human oversight.

Generative artificial intelligence, human fitness, large language models, wearable sensors, personalized coaching, multimodal AI, retrieval-augmented generation

Review on Bionic Arm using Arduino Uno

In this project, we create a bionic arm that mimics natural hand movements using Arduino Uno. The arm consists of five fingers, each controlled by a servo motor. We use EMG sensors to detect muscle signals, allowing precise control of the hand

Bionic Arm, Arduino Uno, Electromyography (EMG) Sensors, Servo Motor Control, Prosthetic Limb.

A Review On Smart Electric Pole Safety Device With Hazard Prediction

Electrical poles play a significant role in the generation and distribution of electric power; however, these poles are vulnerable to numerous electrical and environmental hazards, including leakage current, overheating, smoke, heavy rain, or tilting.

Smart Electric Pole, ESP32, Internet of Things (IoT), Hazard Detection, Blynk IoT Platform.

AI Based Electrical Safety and Predictive Maintenance System

This review examines twenty research papers on artificial intelligence (AI), Internet of Things (IoT), condition monitoring, fault diagnosis and predictive maintenance, with emphasis on their relevance to electrical safety.

Artificial Intelligence (AI); Electrical Safety; Predictive Maintenance; Fault Detection and Diagnosis; Internet of Things (IoT)

IoT-Based Smart Agriculture System for Real- Time Crop Monitoring

This review presents an accessible architecture for an IoT-based smart agriculture system that combines field sensors, low-power embedded electronics, wireless communication, cloud or edge data processing, farmer dashboards, and guarded actuation.

Internet Of Things, Smart Agriculture, Crop Monitoring, Wireless Sensor Network (Wireless Sensor Network), Precision Agriculture.

An Ultra-Low Latency Embedded sEMG-Based Intelligent Control System for Wireless Assistive Wheelchair Navigation Using ESP- NOW Protocol

This research provides an ultra-low-latency intelligent control framework for wireless assistive wheelchair movement through single-channel surface electromyography (sEMG) and the ESP-NOW communication technology.

Assistive Wheelchair, Biomedical Signal Processing, Embedded Systems, ESP-NOW Protocol, Human-Machine Interface (HMI), and Ultra-Low Latency
Support