Suhartini , Bernadeta
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Technology for Posture Monitoring: Trends and Innovations in a Systematic PRISMA Review Mitsalina, Dinan; Sumaryanti; Suhartini , Bernadeta; Widyaningsih, Heni; Mylsidayu, Apta; Nurhidayah, Dewi; Ndayisenga, Japhet
The Indonesian Journal of Occupational Safety and Health Vol. 15 No. 1 (2026): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v15i1.2026.101-112

Abstract

Introduction: This paper will examine the evolution of wearable technology in postural monitoring and correction in a systematic study. Both Scopus, PubMed, and Google Scholar databases were searched on with relevant keywords. Method: The PRISMA flow was used to select the articles, and 37 empirical and 13 non-empirical studies were finally included in the analysis. Result: The findings of the research indicate that wearable posture monitoring has now come a long way as a mere one-sensor device to a multi-sensor system together with high-tech digital technology. IMU sensors, acceleration, gyroscopes, and pressure sensors are used in most wearable devices and are capable of detecting the change of posture in real-time. They have a biofeedback system which applies vibration, sound or displays. Wearable postures are not meant to be used in general. Nevertheless, they are customized to meet the special requirements of user groups including office employees, those with neurological conditions, those with low back pain, medical professionals and students. The non-empirical type of studies under analysis also play a significant role in enhancing the theoretical basis of wearable posture development, especially sensor design, technology integration, and user comfort. These results indicate that wearable posture technology can be immensely useful in supplementing postural disorder prevention and rehabilitation programs in many fields. Conclusion: The present study suggests creating wearable posture-based systems on artificial intelligence and cloud-based monitoring, which are more adaptive and personalized and proposes long-term research with randomized controlled trial designs to assess the effectiveness of interventions continuously.Keywords: Biofeedback, Posture Correction, Posture Monitoring, Wearable Posture, Wearable Technology