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3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor
2018
Sensors
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In-air signature is a new modality which is essential for user authentication and access control in noncontact mode and has been actively studied in recent years. ...
Experiments showed that depth itself is an important feature, which is sufficient for in-air signature verification. The dataset will be publicly available (https://goo.gl/yFdfdL). ...
[1] proposed a new in-air signature acquisition method using Google Glass. ...
doi:10.3390/s18113872
pmid:30423837
fatcat:gs4qo257ubegzbg5bt3hmz4zne
In-air signature verification system using Leap Motion
2020
Expert systems with applications
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In this work, authors present a novel and robust in-air signature verification system, which applies the use of Leap Motion controller to characterize in-air strokes, due to its stability and good performance ...
The proposed system achieves very good results in comparison with the state-of-the-art one, which suggests that in-air signature processing gives an opportunity to increase systems' security. ...
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ...
doi:10.1016/j.eswa.2020.113797
fatcat:pw7v6c3c2va2zjeh4uncqb76xm
DeepAirSig: End-to-End Deep Learning based In-Air Signature Verification
2020
IEEE Access
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Given the lack of a sufficient training dataset, we propose a new medium-scale in-air signature dataset which is adequate to train a neural network based approach for verification. ...
Our verification framework is based on different representations of spatial and depth features of signature trajectory, and autoencoders; see Section V. 2) A new medium-scale in-air signature dataset, ...
doi:10.1109/access.2020.3033848
fatcat:zk4malrqnfb5hachpdirkoi4uu
Wi-Fi based User Identification using In-air Handwritten Signature
2021
IEEE Access
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Table 5 summarizes the dataset for our experimentation. An expanded version of the Wi-Fi in-air signature dataset from [11] is utilized. ...
In contrast, the handwritten signature can overcome this issue by creating a new signature pattern to replace the compromised signature. ...
doi:10.1109/access.2021.3071228
fatcat:yknbsnzcmjfdfk2c4bliktsa5e
Sense, Model and Identify the Load Signatures of HVAC Systems in Metro Stations
[article]
2013
arXiv
pre-print
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In this paper, we present a novel sensing and learning approach to identify the load signature of the HVAC system in the subway stations. ...
In particular, sensors and smart meters were deployed to monitor the indoor, outdoor temperatures, and the energy consumptions of the HVAC system in real-time. ...
in (4) , M new is the volume of new air blowed into the subway station by the new air ventilator. ...
arXiv:1312.2629v1
fatcat:ah7lf5ucvnfjvlh2ugqixl6a3m
AirSign: Smartphone Authentication by Signing in the Air
2020
Sensors
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AirSign leverages both acoustic and motion sensors for user authentication by signing signatures in the air through smartphones without requiring any special hardware. ...
To evaluate our system, we collected registered, genuine, and forged signatures from 30 participants, and by applying AirSign on the above dataset, we were able to successfully distinguish between genuine ...
the hand geometry feature of the new "Air Signature" and the registered, genuine, and forged signature data. ...
doi:10.3390/s21010104
pmid:33375324
fatcat:knwylklfabeunlyqasywxeluia
Human bronchial epithelial cells exposed in vitro to cigarette smoke at the air-liquid interface resemble bronchial epithelium from human smokers
2013
American Journal of Physiology - Lung cellular and Molecular Physiology
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Fig. 7 . 7 Comparison between in vivo human smoker miRNA signature [from Schembri et al. (54) ] and CS-exposed AIR-100 in vitro miRNA dataset. ...
vivo datasets and our in vitro dataset. ...
doi:10.1152/ajplung.00181.2012
pmid:23355383
pmcid:PMC3627940
fatcat:qofd34gd45eulbu3bbshoet5im
Fingertip Detection and Tracking for Recognition of Air-Writing in Videos
[article]
2018
arXiv
pre-print
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Further, we propose a robust fingertip detection and tracking approach using a new signature function called distance-weighted curvature entropy. ...
In this work, we address the problem of mid-air finger writing using web-cam video as input. ...
Informed consent: Informed consent was obtained from all individual participants included in the study. ...
arXiv:1809.03016v1
fatcat:uizumqrqm5gz3p67jd77bhmmii
Continental-scale analysis of shallow and deep groundwater contributions to streams
2021
Nature Communications
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Streams with atmospheric signatures tend to drain watersheds with low slope and greater human disturbance, indicating reduced stream-groundwater connectivity in populated valley settings. ...
Here, we pair multi-year air and stream temperature signals to categorize 1729 sites across the continental United States as having major dam influence, shallow or deep groundwater signatures, or lack ...
New England have a deep groundwater signature) or sedimentary bedrock (e.g., 27% of sites in the Colorado Plateau have a deep groundwater signature) (Supplementary Table 1 ). ...
doi:10.1038/s41467-021-21651-0
pmid:33664258
pmcid:PMC7933412
fatcat:necujn7dond2njxoryuqbglodq
Sensing In-Air Signature Motions Using Smartwatch: A High-Precision Approach of Behavioral Authentication
2022
IEEE Access
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method by signing their names in the air. ...
In this study, we investigate the feasibility of authenticating users by sensing hand motions of signing in air using fingers. ...
Consequently, the pairwise aligned signature dataset consisted of 3190 pairs of signatures from 22 participants. We adopt an open-set protocol to divide the dataset by users. ...
doi:10.1109/access.2022.3177905
fatcat:kvf5hcvxybblbkyrqdka5virbm
In-air Hand Gesture Signature Recognition: An iHGS Database Acquisition Protocol
2022
F1000Research
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This application is known as in-air hand gesture signature recognition. ...
In addition, a forgery dataset was also collected by imitating the genuine samples. ...
Fang et al. 9 proposed a fusion-based in-air signature verification. The user's fingertip was tracked and the signature trajectory was extracted from a video sample captured by a high-speed camera. ...
doi:10.12688/f1000research.74134.1
fatcat:ztiay64skvfvnppgiwl42dloti
SEED: Public Energy and Environment Dataset for Optimizing HVAC Operation in Subway Stations
[article]
2013
arXiv
pre-print
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For sustainability and energy saving, the problem to optimize the control of heating, ventilating, and air-conditioning (HVAC) systems has attracted great attentions, but analyzing the signatures of thermal ...
In this paper, we present the Subway station Energy and Environment Dataset (SEED), which was collected from a line of Beijing subway stations, providing minute-resolution data regarding the environment ...
We added the new air temperature sensors, return air temperature sensors and deployed Profibus DP network to connected the sensors into the information collection server. ...
arXiv:1312.2632v1
fatcat:xuhqd7c6cfct3gffijhf4agz64
ELM-HTM Guided Bio-inspired Unsupervised Learning for Anomalous Trajectory Classification
2020
Cognitive Systems Research
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Experiments have also been performed with 3D air signatures captured using sensors and used for biometric authentication(forged/genuine). ...
In this paper, we propose a new bio-inspired learning model for a single-class classifier to detect abnormality in video object trajectories. ...
Informed consent: Informed consent was obtained from all individual participants included in the study. ...
doi:10.1016/j.cogsys.2020.04.003
fatcat:j4nhuvkwhnf2nkgzp63yfrbjnq
Load Disaggregation Using Microscopic Power Features and Pattern Recognition
2019
Energies
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Initially, the novel NILM algorithm—called the Power Signature Blob (PSB)—makes use of a state machine to detect when the appliance has been turned on or off. ...
Therefore, this article presents a new load disaggregation methodology with microscopic characteristics collected from current and voltage waveforms. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/en12142641
fatcat:yhhfl2u2vfahhdkdd5to7qrneu
A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode
2019
Geoscience Data Journal
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Such a dataset may be of value to a wide range of users and communities in deep learning, remote sensing, oceanography and meteorology. 106 ...
For each image, only one prevalent geophysical phenomenon with its prescribed signature and texture is selected for labelling. ...
This image dataset is created thanks to Sentinel-1A ...
doi:10.1002/gdj3.73
fatcat:4gwodzc2wfainjiwb4ynkodabm
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