Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Literature review of digital twin in healthcare
TM Machado, FT Berssaneti - Heliyon, 2023 - cell.com
This article aims to make a bibliometric literature review using systematic scientific mapping
and content analysis of digital twins in healthcare to know the evolution, domain, keywords …
and content analysis of digital twins in healthcare to know the evolution, domain, keywords …
Human gait recognition: A systematic review
A biometric system is a technology that utilizes an individual's unique physiological and
behavioral characteristics to identify and authenticate them. It falls under the category of …
behavioral characteristics to identify and authenticate them. It falls under the category of …
Spoken language identification system using convolutional recurrent neural network
Following recent advancements in deep learning and artificial intelligence, spoken
language identification applications are playing an increasingly significant role in our day-to …
language identification applications are playing an increasingly significant role in our day-to …
Deepbbwae-net: A cnn-rnn based deep superlearner for estimating lower extremity sagittal plane joint kinematics using shoe-mounted imu sensors in daily living
MSB Hossain, J Dranetz, H Choi… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Measurement of human body movement is an essential step in biomechanical analysis. The
current standard for human motion capture systems uses infrared cameras to track reflective …
current standard for human motion capture systems uses infrared cameras to track reflective …
A deep learning approach for foot trajectory estimation in gait analysis using inertial sensors
Gait performance is an important marker of motor and cognitive decline in older adults. An
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …
The influence of gait phase on predicting lower-limb joint angles
Machine learning has seen a rapid increase in applications that harness wearable signals to
improve human mobility. Previous work has used machine learning predictors as a means of …
improve human mobility. Previous work has used machine learning predictors as a means of …
A function approximator model for robust online foot angle trajectory prediction using a single IMU sensor: Implication for controlling active prosthetic feet
S Dey, AF Schilling - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Lower limb dysfunction hinders the locomotive activity in individuals and compels them to
use assistive devices such as prostheses or orthoses to restore the missing locomotive …
use assistive devices such as prostheses or orthoses to restore the missing locomotive …
[PDF][PDF] COVID-19 Detection via a 6-Layer Deep Convolutional Neural Network.
S Hou, J Han - CMES-Computer Modeling in Engineering & …, 2022 - cdn.techscience.cn
Many people around the world have lost their lives due to COVID-19. The symptoms of most
COVID-19 patients are fever, tiredness and dry cough, and the disease can easily spread to …
COVID-19 patients are fever, tiredness and dry cough, and the disease can easily spread to …
Pathological gait classification using early and late fusion of foot pressure and skeleton data
MT Naseem, H Seo, NH Kim, CS Lee - Applied Sciences, 2024 - mdpi.com
Classifying pathological gaits is crucial for identifying impairments in specific areas of the
human body. Previous studies have extensively employed machine learning and deep …
human body. Previous studies have extensively employed machine learning and deep …