Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '95 1995
DOI: 10.1145/223904.223940
|View full text |Cite
|
Sign up to set email alerts
|

Applying electric field sensing to human-computer interfaces

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
116
0

Year Published

2005
2005
2021
2021

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 216 publications
(116 citation statements)
references
References 12 publications
0
116
0
Order By: Relevance
“…By applying an electric field 17,18 , the human body can easily be influenced. Usually, with an application of a specific voltage to the sensor, a uniform electric field is generated.…”
Section: Capacitive Sensing Overviewmentioning
confidence: 99%
“…By applying an electric field 17,18 , the human body can easily be influenced. Usually, with an application of a specific voltage to the sensor, a uniform electric field is generated.…”
Section: Capacitive Sensing Overviewmentioning
confidence: 99%
“…The purpose of this system was to stop a robot moving to ensure the safety of any person who came too close to it. Two years later after Karlsson's 'person detector', Thomas Zimmerman et al from MIT Media Laboratory presented various ideas on capacitive applications in [56], including a two-dimensional Finger-Pointing Mouse and a Person-Sensing Room. The floor of the Person-Sensing Room was covered by a transmitting electrode and four receiving electrodes were placed on the walls.…”
Section: State Of the Art In Capacitive User Trackingmentioning
confidence: 99%
“…In contrast to the systems of Karlsson [13] and Zimmermann [56], the electrode arrangement in these studies consists of a segmented floor composed of multiple transmitters and one or more receivers placed in the vicinity of the transmitters. The segmented floor in all of these studies was built from raised floor tiles that had a conductive metal layer on the bottom surface of the tile (see Figure 2).…”
Section: Tile-based Positioningmentioning
confidence: 99%
“…They have been applied to various applications for body parameter sensing in fields such as human-computer interaction or smart furniture, creating different interaction devices, or furniture that is able to sense occupation and posture [5][6][7].…”
Section: Introductionmentioning
confidence: 99%