Goals

Study the currently known solutions of body posture monitoring

Create an IoT sensor system for the monitoring of body posture during computer use

Collect data on body posture using the system designed in 2. Process the data in cooperation with a subject domain expert (health professional)

Create a machine learning/deep learning model that will learn to classify correct and incorrect sitting posture based on the collected data

Literature

[1] TLILI, F. et al. A Survey on sitting posture monitoring systems. In 9th International Symposium on Signal, Image, Video and Communications, ISIVC 2018 - Proceedings . 2018. s. 185–190.
[2] CAJAMARCA, G. et al. StraightenUp+: Monitoring of posture during daily activities for older persons using wearable sensors. In Sensors (Switzerland) . 2018. Vol. 18, no. 10, s. 1–16.
[3] MATUSKA, S. et al. A Smart System for Sitting Posture Detection Based on Force Sensors and Mobile Application. In Mobile Information Systems . 2020. Vol. 2020.
[4] LUNA-PEREJÓN, F. et al. Iot device for sitting posture classification using artificial neural networks. In Electronics (Switzerland) . 2021. Vol. 10, no. 15, s. 1–15.
[5] KULIKAJEVAS, A. et al. Detection of sitting posture using hierarchical image composition and deep learning. In PeerJ Computer Science [online]. 2021. Vol. 7, s. 1–20. [cit. 2021-11-28].