Audio-Visual User Identification in HCI Scenarios

Lecture Notes in Computer Science - Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction ◽

10.1007/978-3-319-14899-1_11 ◽

2015 ◽

pp. 113-122

Author(s):

Markus Kächele ◽

Sascha Meudt ◽

Andrej Schwarz ◽

Friedhelm Schwenker

Keyword(s):

User Identification

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Design and operation of online user identification systems � Code of practice

10.3403/30379130 ◽

2020 ◽

Keyword(s):

User Identification ◽

Code Of Practice

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User Identification Across Multiple Smart Pill Bottle Systems

Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021) ◽

10.1145/3412382.3458783 ◽

2021 ◽

Author(s):

Murtadha Aldeer ◽

Richard E. Howard ◽

Richard P. Martin ◽

Jorge Ortiz

Keyword(s):

User Identification ◽

Pill Bottle

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A Scalable Extreme Learning Machine (S-ELM) for Class-incremental ECG-based User Identification

2021 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas51556.2021.9401716 ◽

2021 ◽

Author(s):

Cheng-Lin Lee ◽

Yi-Ta Chen ◽

An-Yeu Andy Wu

Keyword(s):

Extreme Learning Machine ◽

User Identification ◽

Learning Machine

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Short Paper: User Identification across Online Social Networks Based on Similarities among Distributions of Friends’ Locations

2019 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata47090.2019.9006186 ◽

2019 ◽

Author(s):

Kazufumi KOJIMA ◽

Keisuke IKEDA ◽

Masahiro TANI

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Short Paper ◽

User Identification

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Misactivation detection and user identification in smart home speakers using traffic flow features

Proceedings of the 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks ◽

10.1145/3448300.3468289 ◽

2021 ◽

Author(s):

Batyr Charyyev ◽

Mehmet Hadi Gunes

Keyword(s):

Traffic Flow ◽

Smart Home ◽

User Identification ◽

Flow Features

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PrivGait: An Energy Harvesting-based Privacy-Preserving User Identification System by Gait Analysis

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3089618 ◽

2021 ◽

pp. 1-1

Author(s):

Weitao Xu ◽

Wanli Xue ◽

Qi Lin ◽

Guohao Lan ◽

Xingyu Feng ◽

...

Keyword(s):

Energy Harvesting ◽

Gait Analysis ◽

Privacy Preserving ◽

Identification System ◽

User Identification

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User identification across online social networks in practice: Pitfalls and solutions

Journal of Information Science ◽

10.1177/0165551516673480 ◽

2016 ◽

Vol 44 (3) ◽

pp. 377-391 ◽

Cited By ~ 3

Author(s):

Azadeh Esfandyari ◽

Matteo Zignani ◽

Sabrina Gaito ◽

Gian Paolo Rossi

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Full Range ◽

Application Programming Interface ◽

User Identification ◽

Application Programming ◽

Test Sets ◽

Set Up ◽

Different Levels ◽

Programming Interface

To take advantage of the full range of services that online social networks (OSNs) offer, people commonly open several accounts on diverse OSNs where they leave lots of different types of profile information. The integration of these pieces of information from various sources can be achieved by identifying individuals across social networks. In this article, we address the problem of user identification by treating it as a classification task. Relying on common public attributes available through the official application programming interface (API) of social networks, we propose different methods for building negative instances that go beyond usual random selection so as to investigate the effectiveness of each method in training the classifier. Two test sets with different levels of discrimination are set up to evaluate the robustness of our different classifiers. The effectiveness of the approach is measured in real conditions by matching profiles gathered from Google+, Facebook and Twitter.

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