A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

A survey of itemset mining

P Fournier‐Viger, JCW Lin, B Vo, TT Chi… - … : Data Mining and …, 2017 - Wiley Online Library
Itemset mining is an important subfield of data mining, which consists of discovering
interesting and useful patterns in transaction databases. The traditional task of frequent …

Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices

L Yang, Y Chen, XY Li, C **ao, M Li, Y Liu - Proceedings of the 20th …, 2014 - dl.acm.org
In many applications, we have to identify an object and then locate the object to within high
precision (centimeter-or millimeter-level). Legacy systems that can provide such accuracy …

A big data approach for logistics trajectory discovery from RFID-enabled production data

RY Zhong, GQ Huang, S Lan, QY Dai, X Chen… - International Journal of …, 2015 - Elsevier
Radio frequency identification (RFID) has been widely used in supporting the logistics
management on manufacturing shopfloors where production resources attached with RFID …

A review and categorization of techniques on device-free human activity recognition

Z Hussain, QZ Sheng, WE Zhang - Journal of Network and Computer …, 2020 - Elsevier
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Different approaches for human activity recognition: A survey

Z Hussain, M Sheng, WE Zhang - arxiv preprint arxiv:1906.05074, 2019 - arxiv.org
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Indoor localization improved by spatial context—A survey

F Gu, X Hu, M Ramezani, D Acharya… - ACM Computing …, 2019 - dl.acm.org
Indoor localization is essential for healthcare, security, augmented reality gaming, and many
other location-based services. There is currently a wealth of relevant literature on indoor …

How long to wait? Predicting bus arrival time with mobile phone based participatory sensing

P Zhou, Y Zheng, M Li - Proceedings of the 10th international conference …, 2012 - dl.acm.org
The bus arrival time is primary information to most city transport travelers. Excessively long
waiting time at bus stops often discourages the travelers and makes them reluctant to take …

Location, localization, and localizability

Y Liu, Z Yang, X Wang, L Jian - Journal of computer science and …, 2010 - Springer
Location-aware technology spawns numerous unforeseen pervasive applications in a wide
range of living, production, commence, and public services. This article provides an …

Mobile targeting using customer trajectory patterns

A Ghose, B Li, S Liu - Management Science, 2019 - pubsonline.informs.org
Rapid improvements in the precision of mobile technologies now make it possible for
advertisers to go beyond real-time static location and contextual information on consumers …