A review of embedded machine learning based on hardware, application, and sensing scheme
Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …
A real-time arrhythmia heartbeats classification algorithm using parallel delta modulations and rotated linear-kernel support vector machines
Real-time wearable electrocardiogram monitoring sensor is one of the best candidates in
assisting cardiovascular disease diagnosis. In this paper, we present a novel real-time …
assisting cardiovascular disease diagnosis. In this paper, we present a novel real-time …
A smart chair sitting posture recognition system using flex sensors and FPGA implemented artificial neural network
Sitting is the most common status of modern human beings. Some sitting postures may bring
health issues. To prevent the harm from bad sitting postures, a local sitting posture …
health issues. To prevent the harm from bad sitting postures, a local sitting posture …
Second-order level-crossing sampling analog to digital converter for electrocardiogram delineation and premature ventricular contraction detection
X Tang, M Renteria-Pinon… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents an electrocardiogram (ECG) delineation and arrhythmia heartbeat
detection system using a novel second-order level-crossing sampling analog to digital …
detection system using a novel second-order level-crossing sampling analog to digital …
A vision-based cattle recognition system using tensorflow for livestock water intake monitoring
This letter presents a new method for identifying individual cattle for the purpose of tracking
and efficiently measuring their daily water intake using a vision-based machine learning …
and efficiently measuring their daily water intake using a vision-based machine learning …
A vision-based system for stage classification of parkinsonian gait using machine learning and synthetic data
JM Chavez, W Tang - Sensors, 2022 - mdpi.com
Parkinson's disease is characterized by abnormal gait, which worsens as the condition
progresses. Although several methods have been able to classify this feature through pose …
progresses. Although several methods have been able to classify this feature through pose …
A smart sensing system of water quality and intake monitoring for livestock and wild animals
This paper presents a water intake monitoring system for animal agriculture that tracks
individual animal watering behavior, water quality, and water consumption. The system is …
individual animal watering behavior, water quality, and water consumption. The system is …
Joint learning and channel coding for error-tolerant IoT systems based on machine learning
In several machine learning (ML) based Internet of Things (IoT) systems, data are captured
by IoT devices and then transmitted over a wireless channel for remote processing. Since …
by IoT devices and then transmitted over a wireless channel for remote processing. Since …
Sub-milliwatt transceiver IC for transcutaneous communication of an intracortical visual prosthesis
An intracortical visual prosthesis plays a vital role in partially restoring the faculty of sight in
visually impaired people. Reliable high date rate wireless links are needed for …
visually impaired people. Reliable high date rate wireless links are needed for …
High-dimensional time-series gait analysis using a full-body wireless wearable motion sensing system and convolutional neural network
This paper reports high-dimensional time-series data processing for gait analysis using data
from a full-body wireless wearable motion sensing system with machine learning models …
from a full-body wireless wearable motion sensing system with machine learning models …