2015
DOI: 10.1109/mis.2015.43
|View full text |Cite
|
Sign up to set email alerts
|

Using RFID to Detect Interactions in Ambient Assisted Living Environments

Abstract: People with physical or cognitive disabilities lack independence in their everyday activities. Deviceless activity detection through RFID-enabled ambient assisted living technologies can improve the lives of such people, especially in their shopping experiences.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
4
4
2

Relationship

1
9

Authors

Journals

citations
Cited by 44 publications
(13 citation statements)
references
References 7 publications
0
13
0
Order By: Relevance
“…More recently, RFID has proven to provide benefits when also implemented in the stores [22,23,24,25]. A comparison between RFID and other technologies in the ambient assisted living context can be found in [26].…”
Section: Literature Reviewmentioning
confidence: 99%
“…More recently, RFID has proven to provide benefits when also implemented in the stores [22,23,24,25]. A comparison between RFID and other technologies in the ambient assisted living context can be found in [26].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Emotions during sleep can affect quality of sleep and subsequently overall wellbeing [9]. Using intelligent smart textiles in this way, with the possibility to gain more personalised intelligence through radio frequency identification (RFID) tagging to aid assisted living in different locations [10], could help formulate a wellness sensor network [11]. This would create a wireless collective of shared knowledge within the network, improving conclusions, knowledge, and judgements to increase levels of intelligence and autonomy.…”
Section: Personal Interactivity With Intelligent Textilesmentioning
confidence: 99%
“…Systems also relies on UHF RFID features analysis, and sensors providing real-time user-object interactions in an IoT context-aware shelf scenario [17]. An alternate for RFID can be sensors like accelerometers and gyroscopes to gauge the distance and travelling time.…”
Section: Object Detectionmentioning
confidence: 99%