[HTML][HTML] Indoor location data for tracking human behaviours: A scoping review

LC Shum, R Faieghi, T Borsook, T Faruk, S Kassam… - Sensors, 2022 - mdpi.com
Real-time location systems (RTLS) record locations of individuals over time and are
valuable sources of spatiotemporal data that can be used to understand patterns of human …

Applying the self-determination theory (SDT) to explain the levels of motivation for adopting green building

AO Olanipekun, APC Chan, B Xia… - International Journal of …, 2018 - Taylor & Francis
Adopting green building requires a lot of motivation due to the litany of challenges involved.
Consequently, many previous studies have investigated the motivation for adopting green …

[HTML][HTML] Analyzing of gender behaviors from paths using process mining: A shopping mall application

O Dogan, JL Bayo-Monton, C Fernandez-Llatas… - Sensors, 2019 - mdpi.com
The study presents some results of customer paths' analysis in a shopping mall. Bluetooth-
based technology is used to collect data. The event log containing spatiotemporal …

RNN-based demand awareness in smart library using CRFID

R Bai, J Zhao, D Li, X Lv, Q Wang… - China …, 2020 - ieeexplore.ieee.org
To provide more intelligence service in the smart library, we need to better perceive the
reader's preferences. In addition to perceiving online records based on readers' search …

A model for trend analysis in the online shopping scenario using multilevel hesitation pattern mining

A Dixit, A Tiwari, RK Gupta - Mathematical Problems in …, 2021 - Wiley Online Library
The present paper proposes a new model for the exploration of hesitated patterns from
multiple levels of conceptual hierarchy in the transactional dataset. The usual practice of …

Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization

O Dogan, B Oztaysi… - Journal of Intelligent & …, 2020 - content.iospress.com
There are some studies and methods in the literature to understand customer needs and
behaviors from the path. However, path analysis has a complex structure because the many …

Learning user preference from heterogeneous information for store-type recommendation

Y Chen, J Zhang, M Guo, J Cao - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Online stores are capable analyzing user preference from click logs and transaction records,
while retailers of physical stores still lack effective methods to understand user preference …

Mining customer preference in physical stores from interaction behavior

Y Chen, Z Zheng, S Chen, L Sun, D Chen - IEEE Access, 2017 - ieeexplore.ieee.org
An improved understanding of customer preference is crucial for successful business in
physical stores. Online stores are capable learning customer preference from the click logs …

[PDF][PDF] The levels of building stakeholders' motivation for adopting green buildings

AO Olanipekun - 21st century human habitat: Issues, Sustainability …, 2016 - academia.edu
As a result of the challenges that encircled green building in the building sector, building
stakeholders' motivation for adopting green buildings has generated a considerable …

Abnormal behaviour detection on queue analysis from stereo cameras

L Patino, J Ferryman, C Beleznai - 2015 12th IEEE …, 2015 - ieeexplore.ieee.org
In this paper we perform an analysis of human behaviour for people standing in a queue
with the aim to discover, in an unsupervised way, ongoing unusual or suspicious activities …