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Finding common ground: A survey of capacitive sensing in human-computer interaction

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Finding common ground: A survey of capacitive sensing in human-computer interaction. / Grosse-Puppendahl, T.; Holz, C.; Cohn, G. et al.
CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017. p. 3293-3316.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Grosse-Puppendahl, T, Holz, C, Cohn, G, Wimmer, R, Bechtold, O, Hodges, S, Reynolds, MS & Smith, JR 2017, Finding common ground: A survey of capacitive sensing in human-computer interaction. in CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, pp. 3293-3316. https://doi.org/10.1145/3025453.3025808

APA

Grosse-Puppendahl, T., Holz, C., Cohn, G., Wimmer, R., Bechtold, O., Hodges, S., Reynolds, M. S., & Smith, J. R. (2017). Finding common ground: A survey of capacitive sensing in human-computer interaction. In CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 3293-3316). ACM. https://doi.org/10.1145/3025453.3025808

Vancouver

Grosse-Puppendahl T, Holz C, Cohn G, Wimmer R, Bechtold O, Hodges S et al. Finding common ground: A survey of capacitive sensing in human-computer interaction. In CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM. 2017. p. 3293-3316 doi: 10.1145/3025453.3025808

Author

Grosse-Puppendahl, T. ; Holz, C. ; Cohn, G. et al. / Finding common ground: A survey of capacitive sensing in human-computer interaction. CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017. pp. 3293-3316

Bibtex

@inproceedings{72a2c50a66354d68b69aab0c38ae9d2f,
title = "Finding common ground: A survey of capacitive sensing in human-computer interaction",
abstract = "For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices - enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing. {\textcopyright} 2017 ACM.",
keywords = "Capacitive sensing, Electric field sensing, Survey, Electric fields, Human engineering, Surveying, Surveys, Terminology, Gestural interaction, Human-computer interaction researches, Instrumented environments, Interaction techniques, Position estimation, Research communities, Human computer interaction",
author = "T. Grosse-Puppendahl and C. Holz and G. Cohn and R. Wimmer and O. Bechtold and S. Hodges and Reynolds, {Matthew S} and Smith, {Joshua R}",
year = "2017",
month = may,
day = "2",
doi = "10.1145/3025453.3025808",
language = "English",
pages = "3293--3316",
booktitle = "CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Finding common ground: A survey of capacitive sensing in human-computer interaction

AU - Grosse-Puppendahl, T.

AU - Holz, C.

AU - Cohn, G.

AU - Wimmer, R.

AU - Bechtold, O.

AU - Hodges, S.

AU - Reynolds, Matthew S

AU - Smith, Joshua R

PY - 2017/5/2

Y1 - 2017/5/2

N2 - For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices - enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing. © 2017 ACM.

AB - For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices - enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing. © 2017 ACM.

KW - Capacitive sensing

KW - Electric field sensing

KW - Survey

KW - Electric fields

KW - Human engineering

KW - Surveying

KW - Surveys

KW - Terminology

KW - Gestural interaction

KW - Human-computer interaction researches

KW - Instrumented environments

KW - Interaction techniques

KW - Position estimation

KW - Research communities

KW - Human computer interaction

U2 - 10.1145/3025453.3025808

DO - 10.1145/3025453.3025808

M3 - Conference contribution/Paper

SP - 3293

EP - 3316

BT - CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

PB - ACM

ER -