Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira… - ACM Computing …, 2022 - dl.acm.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
An end to end indoor air monitoring system based on machine learning and sensiplus platform
In the framework of indoor air monitoring, this paper proposes an Internet of Things ready
solution to detect and classify contaminants. It is based on a compact and low-power …
solution to detect and classify contaminants. It is based on a compact and low-power …
[PDF][PDF] A comprehensive survey on deep-learning based gait recognition for humans in the COVID-19 pandemic
Human gait recognition is a biometric technique that has been utilized for security purposes
for the last decade. Gait recognition is an appealing biometric modality that aims to identify …
for the last decade. Gait recognition is an appealing biometric modality that aims to identify …
Gait activity classification on unbalanced data from inertial sensors using shallow and deep learning
Activity recognition is one of the most active areas of research in ubiquitous computing. In
particular, gait activity recognition is useful to identify various risk factors in people's health …
particular, gait activity recognition is useful to identify various risk factors in people's health …
Gait activity classification using multi-modality sensor fusion: a deep learning approach
SU Yunas, KB Ozanyan - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Floor Sensors (FS) are used to capture information from the force induced on the contact
surface by feet during gait. On the other hand, the Ambulatory Inertial Sensors (AIS) are …
surface by feet during gait. On the other hand, the Ambulatory Inertial Sensors (AIS) are …
Gender Detection Based on Gait Data: A Deep Learning Approach With Synthetic Data Generation and Continuous Wavelet Transform
Smart devices equipped with various sensors enable the acquisition of users' behavioral
biometrics. These sensor data capture variations in users' interactions with the devices …
biometrics. These sensor data capture variations in users' interactions with the devices …
Age detection in a surveillance video using deep learning technique
S Vasavi, P Vineela, SV Raman - SN Computer Science, 2021 - Springer
The video streams that are collected from CCTV surveillance camera can be used in many
applications such as crowd analysis, forensic, self-profile analysis, and social network user's …
applications such as crowd analysis, forensic, self-profile analysis, and social network user's …
Identity and gender recognition using a capacitive sensing floor and neural networks
In recent publications, capacitive sensing floors have been shown to be able to localize
individuals in an unobtrusive manner. This paper demonstrates that it might be possible to …
individuals in an unobtrusive manner. This paper demonstrates that it might be possible to …
Heart Disease Prediction Using Machine Learning and Data Analytics Approach
RS Patil, M Gangwar - … of International Conference on Communication and …, 2022 - Springer
The heart is the consequent major part connecting to the brain, which has stronger
precedence in the Human evidence. It elevates the blood and accumulations to all devices …
precedence in the Human evidence. It elevates the blood and accumulations to all devices …
Deep learning based stress prediction from offline signatures
Soft-Biometric measurements are now increasingly adopted as a robust means of
determining individual's non-unique characteristics with the emerging models that are …
determining individual's non-unique characteristics with the emerging models that are …