Evidence map›Paper›PMID 31768505›Full record

ArticleProceedings of the ... Annual Symposium on Computer-Human Interaction in Play. ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play2019

Designing Videogames to Crowdsource Accelerometer Data Annotation for Activity Recognition Research.

Aditya Ponnada, Seth Cooper, Binod Thapa-Chhetry, Josh Aaron Miller, Dinesh John, Stephen Intille

Abstract read
In one paragraph

Article in Proceedings of the ... Annual Symposium on Computer-Human Interaction in Play. ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Signaligner Pro: A Tool to Explore and Annotate Multi-day Raw Accelerometer Data.Proceedings of the ... IEEE International Conference on Pervasive Computing and Communications. IEEE International Conference on Pervasive Computing and Communications · 2021
    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

6 authors.

Aditya PonnadaNortheastern University, Boston, MA.
Seth CooperNortheastern University, Boston, MA.
Binod Thapa-ChhetryNortheastern University, Boston, MA.
Josh Aaron MillerNortheastern University, Boston, MA.
Dinesh JohnNortheastern University, Boston, MA.
Stephen IntilleNortheastern University, Boston, MA.

Funding

Crowd-Sourced Annotation of Longitudinal Sensor Data to Enhance Data-Driven Precision Medicine for Behavioral HealthUH2EB024407 · NIBIB · NORTHEASTERN UNIVERSITY · PI INTILLE, STEPHEN S · 2016 to 2017
$600k
NIBIB NIH HHS UH2 EB024407
6 · The paper itself

Abstract

Human activity recognition using wearable accelerometers can enable

Indexed as

accelerometersactivity recognitionApplied gamescrowdsourcingdata annotationhuman computation

Identifiers

PMID31768505
PMCPMC6876631

What OpenQuestion holds

Textmetadata
LicenceTDM
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.