Smartphone and smartwatch-based biometrics using activities of daily living
GM Weiss, K Yoneda, T Hayajneh - Ieee Access, 2019 - ieeexplore.ieee.org
Smartphones and smartwatches, which include powerful sensors, provide a readily
available platform for implementing and deploying mobile motion-based behavioral …
available platform for implementing and deploying mobile motion-based behavioral …
Semantics for robotic mapping, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
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 …
Metagait: Learning to learn an omni sample adaptive representation for gait recognition
Gait recognition, which aims at identifying individuals by their walking patterns, has recently
drawn increasing research attention. However, gait recognition still suffers from the conflicts …
drawn increasing research attention. However, gait recognition still suffers from the conflicts …
Human gait recognition using deep learning: A comprehensive review
Gait recognition (GR) is a growing biometric modality used for person identification from a
distance through visual cameras. GR provides a secure and reliable alternative to fingerprint …
distance through visual cameras. GR provides a secure and reliable alternative to fingerprint …
Gait recognition based on deep learning: a survey
CFG Santos, DDS Oliveira, LA Passos… - arXiv preprint arXiv …, 2022 - arxiv.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 …
GaitFi: Robust device-free human identification via WiFi and vision multimodal learning
As an important biomarker for human identification, human gait can be collected at a
distance by passive sensors without subject cooperation, which plays an essential role in …
distance by passive sensors without subject cooperation, which plays an essential role in …
Realizing digital identity in government: Prioritizing design and implementation objectives for Aadhaar in India
With the increasing levels of digital transformation, focus on digital identities of individuals is
increasingly getting prominence. It is the information captured as part of the identity …
increasingly getting prominence. It is the information captured as part of the identity …
Human gait analysis for osteoarthritis prediction: A framework of deep learning and kernel extreme learning machine
Human gait analysis is a novel topic in the field of computer vision with many famous
applications like prediction of osteoarthritis and patient surveillance. In this application, the …
applications like prediction of osteoarthritis and patient surveillance. In this application, the …
Physics-augmented autoencoder for 3d skeleton-based gait recognition
In this paper, we introduce physics-augmented autoencoder (PAA), a framework for 3D
skeleton-based human gait recognition. Specifically, we construct the autoencoder with a …
skeleton-based human gait recognition. Specifically, we construct the autoencoder with a …