Mobile Applications for Assessing Human Posture: A Systematic Literature Review

• Main Authors: Rayele Moreira, Ariel Teles, Renan Fialho, Rodrigo Baluz, Thalyta Cibele Santos, Rômulo Goulart-Filho, Laiane Rocha, Francisco José Silva, Nishu Gupta, Victor Hugo Bastos, Silmar Teixeira
• Format: Article
• Language: English
• Published: MDPI AG 2020-07-01
• Series: Electronics
• Subjects: posture; human postural assessment; spine assessment; smartphone applications; mHealth
• Online Access: https://www.mdpi.com/2079-9292/9/8/1196

Smartphones are increasingly incorporated with features such as sensors and high resolution cameras that empower their capabilities, enabling their use for varied activities including human posture assessments. Previous reviews have discussed methods used in postural assessment but none of them focused exclusively on mobile applications. This paper systematically reviews mobile applications proposed for analyzing human posture based on alignment of the body in the sagittal and coronal plane. The main digital libraries were searched, 26 articles published between 2010 and 2020 were selected, and 13 mobile applications were identified, classified and discussed. Results showed that the use of mobile applications to assist with posture assessment have been demonstrated to be reliable, and this can contribute to clinical practice of health professionals, especially the assessment and reassessment phases of treatments, despite some variations when compared to traditional methods. Moreover, in the case of image-based applications, we highlight the advantage that measurements can be taken with the assessor at a certain distance with respect to the patient’s position, which is an important function for assessments performed in pandemic times such as the outbreak of COVID-19.