Evidence map›Paper›PMID 34502662›Full record

ArticleSensors (Basel, Switzerland)2021

No Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing.

Nuwan T Attygalle, Luis A Leiva, Matjaž Kljun, Christian Sandor, Alexander Plopski, Hirokazu Kato, Klen Čopič Pucihar

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nuwan T AttygalleFaculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT), University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia.ORCID 0000-0001-8498-1923
Luis A LeivaDepartment of Computer Science, University of Luxembourg, Maison du Nombre 6, Avenue de la Fonte, L-4364 Esch-sur-Alzette, Luxembourg.ORCID 0000-0002-5011-1847
Matjaž KljunFaculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT), University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia.ORCID 0000-0002-6988-3046
Christian SandorSchool of Creative Media, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-3990-2728
Alexander PlopskiDepartment of Information Science, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand.ORCID 0000-0003-1354-0279
Hirokazu KatoGraduate School of Science and Technology, Nara Institute of Science and Technology, Takayama 8916-5, Ikoma, Nara, Japan.ORCID 0000-0003-3921-2871
Klen Čopič PuciharFaculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT), University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia.ORCID 0000-0002-7784-1356

Funding

Horizon2020 Widespread-Teaming program Grant Agreement 739574Javna Agencija za Raziskovalno Dejavnost RS P1-0383, J1-9186, J1-1715, J5-1796, and J1-1692
6 · The paper itself

Abstract

Physical objects are usually not designed with interaction capabilities to control digital content. Nevertheless, they provide an untapped source for interactions since every object could be used to control our digital lives. We call this

Indexed as

GesturesRadarAlgorithmsNeural Networks, ComputerRecognition, Psychologydeep learninggesture recognitionhuman factorsradar sensing

Identifiers

PMID34502662
PMCPMC8433657

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.