A gamified application for assessment of balance and fall prevention

Vieira, Bruno Soeiro; Pereira, Luís Lucas; Freitas, Ricardo André Pereira; Terroso, Miguel; Simões, Ricardo

doi:10.1109/cisti.2015.7170473

Cited by 3 publications

(25 citation statements)

References 11 publications

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“…(b) Fall risk assessment method adopted by each study. Saadeh [4], Leone [5], Rivolta [8], Tang [9], Parvaneh [12], Annese [13], Rivolta [25], Shahzad [26], Saporito [27], Rescio [28], Leone [29], Buisseret [30], Yang [31], Selvaraj [32], Vieira [33], and Dzhagaryan [34].…”

Section: Fall Risk Assessment Methodsmentioning

confidence: 99%

“…A group of nine studies [8,9,[25][26][27]30,31,33,34] assessed fall risk from a long-term perspective based on clinical established scales. This group comprised more than half of the manuscripts, i.e., 56%.…”

Section: Fall Risk Assessment Methodsmentioning

confidence: 99%

“…Vieira et al [33] developed a gamified application for the elderly to independently measure the Berg Balance Scale (BBS) score at home by means of a custom-made sensor containing an accelerometer and a gyroscope. Shahzad et al [26] estimated the BBS score from data acquired from a single accelerometer.…”

Section: Fall Risk Assessment Based On Clinical Scalesmentioning

confidence: 99%

“…Further details about the sensor systems used are provided in Figure 3. (a) Anterior and posterior views of the human body depicting sensor location, where: (i) [8,25,27,33,34], (ii) [9], (iii) [9,31], and (iv) [26,30]. (b) Adopted sensor specifications, where: S = sensors, N = number, fs = sampling frequency, Acc = accelerometer, Gyro = gyroscope, Mag = magnetometer, Press = pressure sensors, Bar = barometer, Dist = distance sensors, N\A = Not Available.…”

Section: Fall Risk Assessment Based On Clinical Scalesmentioning

confidence: 99%

“…(b) Adopted sensor specifications, where: S = sensors, N = number, fs = sampling frequency, Acc = accelerometer, Gyro = gyroscope, Mag = magnetometer, Press = pressure sensors, Bar = barometer, Dist = distance sensors, N\A = Not Available. Rivolta [8], Tang [9], Rivolta [25], Shahzad [26], Saporito [27], Buisseret [30], Yang [31], Vieira [33], and Dzhagaryan [34].…”

Section: Fall Risk Assessment Based On Clinical Scalesmentioning

confidence: 99%

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Fall Risk Assessment Using Wearable Sensors: A Narrative Review

Ferreira

Ribeiro

Santos

2022

Sensors

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Recently, fall risk assessment has been a main focus in fall-related research. Wearable sensors have been used to increase the objectivity of this assessment, building on the traditional use of oversimplified questionnaires. However, it is necessary to define standard procedures that will us enable to acknowledge the multifactorial causes behind fall events while tackling the heterogeneity of the currently developed systems. Thus, it is necessary to identify the different specifications and demands of each fall risk assessment method. Hence, this manuscript provides a narrative review on the fall risk assessment methods performed in the scientific literature using wearable sensors. For each identified method, a comprehensive analysis has been carried out in order to find trends regarding the most used sensors and its characteristics, activities performed in the experimental protocol, and algorithms used to classify the fall risk. We also verified how studies performed the validation process of the developed fall risk assessment systems. The identification of trends for each fall risk assessment method would help researchers in the design of standard innovative solutions and enhance the reliability of this assessment towards a homogeneous benchmark solution.

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Section: Fall Risk Assessment Methodsmentioning

confidence: 99%

Section: Fall Risk Assessment Methodsmentioning

confidence: 99%

Section: Fall Risk Assessment Based On Clinical Scalesmentioning

confidence: 99%

Section: Fall Risk Assessment Based On Clinical Scalesmentioning

confidence: 99%

Section: Fall Risk Assessment Based On Clinical Scalesmentioning

confidence: 99%

See 3 more Smart Citations

Fall Risk Assessment Using Wearable Sensors: A Narrative Review

Ferreira

Ribeiro

Santos

2022

Sensors

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Empowering vulnerable target groups with serious games and gamification

Lubbe

Gerritsen

Klein

et al. 2021

Entertainment Computing

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Gerontecnologias e internet das coisas para prevenção de quedas em idosos: revisão integrativa

Diniz¹,

Sousa²,

Coutinho³

et al. 2022

Acta Paulista De Enfermagem

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Conflitos de interesse: nada a declarar. ResumoObjetivo: Identificar na literatura as gerontecnologias Internet das Coisas desenvolvidas para prevenção de acidentes por quedas em idosos.Métodos: Revisão integrativa, realizada de janeiro a maio de 2020. Foram critérios de inclusão artigos, sem restrição de período ou idioma com indivíduos de 60 anos ou mais, que abordem a utilização de gerontecnologia Internet das Coisas para prevenção de quedas. Excluíram-se artigos duplicados. A busca foi realizada pela estratégia PIE (População, Intervenção, Efeito/Avaliação), resultando na pergunta: "Quais as gerontecnologias Internet das Coisas desenvolvidas para prevenção de acidentes por quedas em idosos disponíveis na literatura?". Foi realizada nas bases de dados MEDLINE/PubMed, LILACS, CINAHL, Scopus e Web of Science. Identificaram-se ano, tipo de estudo, país, profissionais envolvidos, desfecho, local de desenvolvimento e classificação em gerontecnologia Internet das Coisas e protótipos.Resultados: Identificaram-se 23 gerontecnologias Internet das Coisas. Os anos de 2018 e 2019 apresentaram maiores números de publicações. Ocorreu predominância de estudos descritivos, por profissionais da ciência da computação e engenheiros e desenvolvidos na Europa, Ásia, América do Norte e Oceania. Encontraram-se oito gerontecnologias Internet das Coisas e 15 protótipos, sendo sete sensores, cinco dispositivos, três jogos sérios e sistemas, dois robôs e um exergames, realidade virtual e aplicativo. A maioria das gerontecnologias buscava melhora da mobilidade e equilíbrio, sendo cinco desenvolvidas em ambiente hospitalar e domiciliar, respectivamente.Conclusão: As gerontecnologias Internet das Coisas podem ser utilizadas como recursos para auxiliar na prevenção de quedas e no fortalecimento da capacidade funcional. Todavia, fazem-se necessárias pesquisas futuras para analisar a eficácia deste tipo de tecnologia para prevenção de quedas em idosos.

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A gamified application for assessment of balance and fall prevention

Cited by 3 publications

References 11 publications

Fall Risk Assessment Using Wearable Sensors: A Narrative Review

Fall Risk Assessment Using Wearable Sensors: A Narrative Review

Empowering vulnerable target groups with serious games and gamification

Gerontecnologias e internet das coisas para prevenção de quedas em idosos: revisão integrativa

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