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 …
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
Background and objectives Mobile and ubiquitous devices are everywhere, generating an
exorbitant amount of data. New generations of healthcare systems are using mobile devices …
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 …
quality is also increasing. This directly impacts the human health and sustainable …
[PDF][PDF] Infrastructure-less occupancy detection and semantic localization in smart environments
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 …
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 …
satisfy the myriad requirements of various evolving pervasive, ubiquitous, opportunistic and …
HCFContext: Smartphone context inference via sequential history-based collaborative filtering
Mobile context determination is an important step for many context-aware services such as
location-based services, enterprise policy enforcement, building/room occupancy detection …
location-based services, enterprise policy enforcement, building/room occupancy detection …
Wearable sensor‐based location‐specific occupancy detection in smart environments
Occupancy detection helps enable various emerging smart environment applications
ranging from opportunistic HVAC (heating, ventilation, and air‐conditioning) control …
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 …
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
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 …
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 …
position data shared by people in the crowd. At large-scale events, these small but frequent …