A survey of sensing modalities for human activity, behavior, and physiological monitoring

A Lioulemes, M Papakostas, SN Gieser… - Proceedings of the 9th …, 2016 - dl.acm.org
In this paper, we present a survey of emerging technologies for non-invasive human activity,
behavior, and physiological sensing. The survey focuses on technologies that are close to …

Data Engineering Techniques for Efficient and Accurate Human Physical Activities Data Collection: a Summary of the State-of-the-art

J Abdullayev, A Zingoni - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
This contribution presents an overview of engineering techniques to collect human behavior
data, highlighting the main research trends and challenges. From our research it emerged …

The case for ambient sensing for human activity detection

N Belapurkar, S Shelke, B Aksanli - … Conference on the Internet of Things, 2018 - dl.acm.org
Human activity detection using various sources of data is an important problem due to its
application in various domains, such as health-care, elderly care, security/safety, etc …

[图书][B] Sensor-based human activity recognition: Overcoming issues in a real world setting

T Sztyler - 2019 - search.proquest.com
The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

Making sense of real-time behavior

S Underwood - Communications of the ACM, 2010 - dl.acm.org
Making sense of real-time behavior Page 1 AUgUST 2010 | VOl. 53 | NO. 8 | communicaTionS of
The acm 17 news P H o t o G r a P H b y r IC K Fr Ie d M a n Society …

Sensing technology for human activity recognition: A comprehensive survey

B Fu, N Damer, F Kirchbuchner, A Kuijper - Ieee Access, 2020 - ieeexplore.ieee.org
Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …

A tool-based methodology for long-term activity monitoring

R Belloum, C Consel, N Volanschi - Proceedings of the 13th ACM …, 2020 - dl.acm.org
In recent years, remarkable progress has been reported in the field of activity monitoring.
However, despite significant breakthroughs in recognizing activities from sensor data, there …

A survey on activity detection and classification using wearable sensors

M Cornacchia, K Ozcan, Y Zheng… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …

Non-invasive wearable sensing systems for continuous health monitoring and long-term behavior modeling

M Sung - 2005 - dspace.mit.edu
(cont.) In this thesis, we focus on the potential of using features derived from minimally
invasive physiological and contextual sensors such as motion, speech, heart rate, skin …

Practical human sensing in the light

T Li, Q Liu, X Zhou - Proceedings of the 14th Annual International …, 2016 - dl.acm.org
We present StarLight, an infrastructure-based sensing system that reuses light emitted from
ceiling LED panels to reconstruct fine-grained user skeleton postures continuously in real …