A survey of techniques for automatically sensing the behavior of a crowd

A Draghici, MV Steen - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Crowd-centric research is receiving increasingly more attention as datasets on crowd
behavior are becoming readily available. We have come to a point where many of the …

Edge computing and IoT based research for building safe smart cities resistant to disasters

T Higashino, H Yamaguchi, A Hiromori… - 2017 IEEE 37th …, 2017 - ieeexplore.ieee.org
Recently, several researches concerning with smart and connected communities have been
studied. Soon the 4G/5G technology becomes popular, and cellular base stations will be …

Opportunistic sensing based detection of crowdedness in public transport buses

P Rajput, M Chaturvedi, V Patel - Pervasive and Mobile Computing, 2020 - Elsevier
This paper presents an opportunistic sensing based solution to detect crowdedness in
public transportation buses. The solution uses data of accelerometer and Global Positioning …

CrowdMeter: Congestion level estimation in railway stations using smartphones

M Elhamshary, M Youssef, A Uchiyama… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
We present CrowdMeter: a participatory system that leverages the sensed data collected
from users' phones during their daily train commutes to gauge the real-time congestion level …

BLECE: BLE-Based Crowdedness Estimation Method for Restaurants and Public Facilities

Y Matsuda, K Ueda, E Taya, H Suwa… - … on Mobile Computing …, 2023 - ieeexplore.ieee.org
The crowdedness in various places in the city, such as public transportation, restaurants,
and public facilities, is high-demand information for not only general people but also …

Mobile devices as an infrastructure: A survey of opportunistic sensing technology

T Higuchi, H Yamaguchi, T Higashino - Journal of information …, 2015 - jstage.jst.go.jp
Now that billions of people carry sensor-enabled mobile devices (eg, smartphones),
employing powerful capability of such commercial mobile products has become a promising …

Context recognition of humans and objects by distributed zero-energy IoT devices

T Higashino, A Uchiyama, S Saruwatari… - 2019 IEEE 39th …, 2019 - ieeexplore.ieee.org
Understanding humans and its environment is a key enabler of smart, intelligent
applications and services for a future smart society. To deploy such services in our ambient …

A human tracking and sensing platform for enabling smart city applications

H Yamaguchi, A Hiromori, T Higashino - … of the Workshop Program of the …, 2018 - dl.acm.org
The progress of IoT technologies, which connect, control and operate everything in the
physical world, is expected to realize secure and convenient societies and communities, and …

CrowdMeter: Gauging congestion level in railway stations using smartphones

M Elhamshary, M Youssef, A Uchiyama… - Pervasive and Mobile …, 2019 - Elsevier
We present CrowdMeter: a participatory system that leverages the sensed data collected
from users' phones during their daily train commutes to gauge the real-time congestion level …

Estimating passenger loading on train cars using accelerometer

SR Tuladhar, P Khomchuk, S Sivananthan - arXiv preprint arXiv …, 2018 - arxiv.org
Crowding on train cars is a common problem plaguing the major public transit agencies
around the world. On one hand a crowded train car presents a negative experience for the …