2020
DOI: 10.4108/eai.26-11-2020.167285
|View full text |Cite
|
Sign up to set email alerts
|

A Multimodal Human Sensing System for Assisted Living

Abstract: Introduction: Advancements in sensor technology have resulted in smart systems that can analyze, interpret and understand their surroundings for decision making. Using such intelligent systems for environments such as smart homes, device automation, and hospitals, makes sensing human presence an essential requirement. Human sensing becomes critical, especially in assisted living scenarios such as in elderly care. However, mechanisms for human sensing are not foolproof because of the dynamic nature and ability … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 28 publications
0
1
0
Order By: Relevance
“…Future research can also focus on the aspect of multimodal sensing, as it offers a promising solution to address the limitations inherent in individual sensing technologies [375] [376]. By integrating data from various sources, including Wi-Fi CSI, wearable devices, cameras, and environmental sensors, a more comprehensive understanding of the care recipient's environment and interactions can be achieved, ultimately leading to improved personalized care.…”
Section: Future Workmentioning
confidence: 99%
“…Future research can also focus on the aspect of multimodal sensing, as it offers a promising solution to address the limitations inherent in individual sensing technologies [375] [376]. By integrating data from various sources, including Wi-Fi CSI, wearable devices, cameras, and environmental sensors, a more comprehensive understanding of the care recipient's environment and interactions can be achieved, ultimately leading to improved personalized care.…”
Section: Future Workmentioning
confidence: 99%