Evidence map›Paper›PMID 27196903›Full record

ArticleSensors (Basel, Switzerland)2016

Kinect-Based Virtual Game for the Elderly that Detects Incorrect Body Postures in Real Time.

Zelai Saenz-de-Urturi, Begonya Garcia-Zapirain Soto

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 54 citations in OpenAlex.

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  10. Automatic Classification of Sarcopenia Level in Older Adults: A Case Study at Tijuana General Hospital.International journal of environmental research and public health · 2019
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  15. Sensors for Entertainment.Sensors (Basel, Switzerland) · 2016
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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

2 authors at 1 institution in 1 country.

Zelai Saenz-de-UrturiDeustoTech Institute of Technology, DeustoTech-LIFE Unit, University of Deusto, Bilbao 48007, Spain. zelai.saenz@deusto.es.
Begonya Garcia-Zapirain SotoDeustoTech Institute of Technology, DeustoTech-LIFE Unit, University of Deusto, Bilbao 48007, Spain. mbgarciazapi@deusto.es.
Universidad de Deusto · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor posture can result in loss of physical function, which is necessary to preserving independence in later life. Its decline is often the determining factor for loss of independence in the elderly. To avoid this, a system to correct poor posture in the elderly, designed for Kinect-based indoor applications, is proposed in this paper. Due to the importance of maintaining a healthy life style in senior citizens, the system has been integrated into a game which focuses on their physical stimulation. The game encourages users to perform physical activities while the posture correction system helps them to adopt proper posture. The system captures limb node data received from the Kinect sensor in order to detect posture variations in real time. The DTW algorithm compares the original posture with the current one to detect any deviation from the original correct position. The system was tested and achieved a successful detection percentage of 95.20%. Experimental tests performed in a nursing home with different users show the effectiveness of the proposed solution.

Indexed as

AlgorithmsExercise TherapyPostureAgedExerciseHumansdynamic time warping algorithmelderlyKinectpostural controlvirtual game

Identifiers

PMID27196903
PMCPMC4883395
OpenAlexW2403635349

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.