Evidence map›Paper›PMID 30866558›Full record

ArticleSensors (Basel, Switzerland)2019

Implementation and Evaluation of a Wide-Range Human-Sensing System Based on Cooperating Multiple Range Image Sensors.

Mikihiro Tokuoka, Naoki Komiya, Hiroshi Mizoguchi, Ryohei Egusa, Shigenori Inagaki, Fusako Kusunoki

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mikihiro TokuokaTokyo University of Science, 2641, Yamazaki, Noda, Chiba 278-0022, Japan. tokmiki0708@gmail.com.
Naoki KomiyaTokyo University of Science, 2641, Yamazaki, Noda, Chiba 278-0022, Japan. 7518523@ed.tus.ac.jp.
Hiroshi MizoguchiTokyo University of Science, 2641, Yamazaki, Noda, Chiba 278-0022, Japan. hm@rs.noda.tus.ac.jp.
Ryohei EgusaMeiji Gakuin University, 1-2-37, Shirokanedai, Minato-ku, Tokyo 108-0071, Japan. egusa@psy.meijigakuin.ac.jp.
Shigenori InagakiKobe University, 3-11, Tsurukabuto, Nada, Kobe, Hyogo 657-8501, Japan. inagakis@kobe-u.ac.jp.
Fusako KusunokiTama Art University, 2-1723, Yarimizu, Hachioji, Tokyo 192-0375, Japan. kusunoki@tamabi.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A museum is an important place for science education for children. The learning method in the museum is reading exhibits and explanations. Museums are investing efforts to quantify interests using questionnaires and sensors to improve their exhibitions and explanations. Therefore, even in places where many people gather, such as in museums, it is necessary to quantify people's interest by sensing behavior of multiple people. However, this has not yet been realized. We aim to quantify the interest by sensing a wide range of human behavior for multiple people by coordinating multiple noncontact sensors. When coordinating multiple sensors, the coordinates and the time of each sensor differ. To solve these problems, coordinates were transformed using a simultaneous transformation matrix and time synchronization was performed using unified time. The effectiveness of this proposal was verified through experimental evaluation. Furthermore, we evaluated the actual museum content. In this paper, we describe the proposed method and the results of the evaluation experiment.

Indexed as

MuseumsData CollectionHumansInterpersonal Relationscoordinate transformation matrixlearning support systemsensing interestthree-dimensional range image sensortime synchronization

Identifiers

PMID30866558
PMCPMC6427326

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.