A review on scaling mobile sensing platforms for human activity recognition: challenges and recommendations for future research

LI Carvalho, RC Sofia - IoT, 2020 - mdpi.com
Mobile sensing has been gaining ground due to the increasing capabilities of mobile and
personal devices that are carried around by citizens, giving access to a large variety of data …

Towards an efficient and Energy-Aware mobile big health data architecture

AN Navaz, MA Serhani, N Al-Qirim… - Computer methods and …, 2018 - Elsevier
Background and objectives Mobile and ubiquitous devices are everywhere, generating an
exorbitant amount of data. New generations of healthcare systems are using mobile devices …

Internet of environmental things: A human centered approach

S Mahajan - Proceedings of the 2018 workshop on mobisys 2018 …, 2018 - dl.acm.org
With the continuous urbanization and industrial growth, the concern about deteriorating air
quality is also increasing. This directly impacts the human health and sustainable …

[PDF][PDF] Infrastructure-less occupancy detection and semantic localization in smart environments

MAAH Khan, HMS Hossain, N Roy - proceedings of the 12th EAI …, 2015 - dl.acm.org
Accurate estimation of localized occupancy related informa-tion in real time enables a broad
range of intelligent smart environment applications. A large number of studies using …

Sensepresence: Infrastructure-less occupancy detection for opportunistic sensing applications

MAAH Khan, HMS Hossain… - 2015 16th IEEE …, 2015 - ieeexplore.ieee.org
Predicting the occupancy related information in an environment has been investigated to
satisfy the myriad requirements of various evolving pervasive, ubiquitous, opportunistic and …

HCFContext: Smartphone context inference via sequential history-based collaborative filtering

V Sadhu, S Zonouz, V Sritapan… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Mobile context determination is an important step for many context-aware services such as
location-based services, enterprise policy enforcement, building/room occupancy detection …

Wearable sensor‐based location‐specific occupancy detection in smart environments

MAAH Khan, N Roy… - Mobile Information Systems, 2018 - Wiley Online Library
Occupancy detection helps enable various emerging smart environment applications
ranging from opportunistic HVAC (heating, ventilation, and air‐conditioning) control …

Dmek: Improving profile matching in opportunistic collaborations

JG Mayworm, J Oliveira, F Firmino… - Big Social Data and Urban …, 2019 - Springer
As the number of mobile devices grow, also grows the amount of data exchanged. This ever
growing amount of data may overload Internet Service Providers. A possible solution to this …

Charting the Past, Present, and Future in Mobile Sensing Research and Development

LA Castro, MD Rodríguez, F Martínez… - Intelligent Data Sensing …, 2018 - Elsevier
Mobile sensing is a relatively new field aimed at collecting data from sensors included in
mobile devices. In this chapter, we present an analysis of different trends that have been …

Exploring data forwarding with bluetooth for participatory crowd monitoring

C Groba, T Springer - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Participatory crowd monitoring estimates the size and dynamics of a crowd based on
position data shared by people in the crowd. At large-scale events, these small but frequent …