Open access Journal SINTA 1
Technology for Posture Monitoring: Trends and Innovations in a Systematic PRISMA Review
The Indonesian Journal Of Occupational Safety and Health · Vol. 15 No. 1 (2026) · pp. 101–112
- ISSN
- 2540-7872, 2301-8046
- Published
- 2026-04-28
- Publisher
- Universitas Airlangga
- Language
- eng
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
Keywords
Collaboration network of the authors
29 authors · 73 co-authorship links · 49 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Yogyakarta State University
- State University of Jakarta
- Cenderawasih University
- Université du Burundi
- Universitas Anwar Medika
- Riau University
- Muhammadiyah University of Surakarta
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Muhammad Imam Rahmatullah | Riau University | 2 |
| Rifiy Qomarrullah | Affiliation unknown | 1 |
| Abdul Jabbar Amar | Cenderawasih University | 1 |
| Onal Tiro | Cenderawasih University | 1 |
| Ipa Sari Kardi | Cenderawasih University | 1 |
| Danuditya Purna Atmaja | Universitas Anwar Medika | 1 |
| Ainul Ghurri | Universitas Anwar Medika | 1 |
| Aulia Gusdernawati | Affiliation unknown | 1 |
| Masnur Ali | State University of Jakarta | 1 |
| Tomoliyus Tomoliyus | Yogyakarta State University | 1 |
| Shalza Putrianingsih | State University of Jakarta | 1 |
| Sudradjat Wiradihardja | State University of Jakarta | 1 |
| Joko Mubarok | Muhammadiyah University of Surakarta | 1 |
| Fitri Agung Nanda | Sriwijaya University | 1 |
| Novriansyah Novriansyah | Samudra University | 1 |
| Sigit Dwi Andrianto | Yogyakarta State University | 1 |
| Wawan Sundawan Suherman | Yogyakarta State University | 1 |
| Soni Nopembri | Yogyakarta State University | 1 |
| José Vicente García-Jiménez | Universidad de Murcia | 1 |
| - Junaidi | Indonesia University of Education | 1 |
| Muhammad Faisal Ansari Nasution | State University of Jakarta | 1 |
| Lionel Nzohabonimana | Université du Burundi | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.