A survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning

D Bouchabou, SM Nguyen, C Lohr, B LeDuc… - Sensors, 2021 - mdpi.com
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …

A tutorial on human activity recognition using body-worn inertial sensors

A Bulling, U Blanke, B Schiele - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
The last 20 years have seen ever-increasing research activity in the field of human activity
recognition. With activity recognition having considerably matured, so has the number of …

Automated cognitive health assessment in smart homes using machine learning

AR Javed, LG Fahad, AA Farhan, S Abbas… - Sustainable Cities and …, 2021 - Elsevier
Abstract The Internet of Things (IoT) provides smart solutions for future urban communities to
address key benefits with the least human intercession. A smart home offers the necessary …

A survey on ambient-assisted living tools for older adults

P Rashidi, A Mihailidis - IEEE journal of biomedical and health …, 2012 - ieeexplore.ieee.org
In recent years, we have witnessed a rapid surge in assisted living technologies due to a
rapidly aging society. The aging population, the increasing cost of formal health care, the …

A survey on ambient intelligence in healthcare

G Acampora, DJ Cook, P Rashidi… - Proceedings of the …, 2013 - ieeexplore.ieee.org
Ambient Intelligence (AmI) is a new paradigm in information technology aimed at
empowering people's capabilities by means of digital environments that are sensitive …

Sensor-based activity recognition

L Chen, J Hoey, CD Nugent… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Research on sensor-based activity recognition has, recently, made significant progress and
is attracting growing attention in a number of disciplines and application domains. However …

Monitoring activities of daily living in smart homes: Understanding human behavior

C Debes, A Merentitis, S Sukhanov… - IEEE Signal …, 2016 - ieeexplore.ieee.org
Monitoring the activities of daily living (ADLs) and detection of deviations from previous
patterns is crucial to assessing the ability of an elderly person to live independently in their …

Detecting activities of daily living in first-person camera views

H Pirsiavash, D Ramanan - 2012 IEEE conference on computer …, 2012 - ieeexplore.ieee.org
We present a novel dataset and novel algorithms for the problem of detecting activities of
daily living (ADL) in firstperson camera views. We have collected a dataset of 1 million …

From participatory sensing to mobile crowd sensing

B Guo, Z Yu, X Zhou, D Zhang - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
The research on the efforts of combining human and machine intelligence has a long
history. With the development of mobile sensing and mobile Internet techniques, a new …

Activity recognition on streaming sensor data

NC Krishnan, DJ Cook - Pervasive and mobile computing, 2014 - Elsevier
Many real-world applications that focus on addressing needs of a human, require
information about the activities being performed by the human in real-time. While advances …