Evidence map›Paper›PMID 35161556›Full record

ArticleSensors (Basel, Switzerland)2022

Architecting Intelligent Smart Serious Games for Healthcare Applications: A Technical Perspective.

Shabir Ahmad, Faisal Mehmood, Faheem Khan, Taeg Keun Whangbo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
7.7field-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

7 citing papers in PubMed, 29 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Shabir AhmadDepartment of I.T. Convergence Engineering, Gachon University, Sujeong-gu, Seongnam-si 461-701, Korea.
Faisal MehmoodDepartment of I.T. Convergence Engineering, Gachon University, Sujeong-gu, Seongnam-si 461-701, Korea.ORCID 0000-0002-8350-679X
Faheem KhanDepartment of I.T. Convergence Engineering, Gachon University, Sujeong-gu, Seongnam-si 461-701, Korea.
Taeg Keun WhangboDepartment of I.T. Convergence Engineering, Gachon University, Sujeong-gu, Seongnam-si 461-701, Korea.
Gachon University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system of human beings plays a pivotal role in guarding against different types of diseases. During the COVID-19 pandemic, people with weak immune systems were more likely to die. Regular physical activities and healthy food intake can significantly improve the immune system; however, people with a sedentary lifestyle and a busy job schedule find it challenging and tedious to maintain regularity. Different approaches have been used over the years to engage people in various physical activities and improve their mental and physical health. The concept of employing serious games (games whose primary purpose is not fun or entertainment, but a serious goal) to effectuate better results has become one of the popular choices among healthcare professionals and research communities. Internet of things (IoT) has enabled digital transformation with smart cities, smart infrastructure, and the fourth industrial revolution. There have been some relevant studies on the encouragement of serious games in healthcare in the past few years. However, few research studies encourage IoT-enabled serious games played with IoT devices (sensors and actuators) by making the game experience more ubiquitous and pervasive. Consequently, the adaptation of the IoT in serious games for healthcare applications is a massive gap despite its growing need in an era significantly affected by COVID-19. This paper discusses the possibilities of integrating serious games with IoT and discusses the standard architecture, core technologies, and possible challenges. Finally, we present a prototype architecture and its various components and a qualitative analysis with recent studies.

Indexed as

COVID-19Internet of ThingsDelivery of Health CareHumansPandemicsSARS-CoV-2healthcareinternet of thingsresource allocationserious gamestask management

Identifiers

PMID35161556
PMCPMC8840149
OpenAlexW4207046326

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.