Spinal pain caused by the bad sitting posture can affect adults and young people. The slouching and leaning for long hours using computers and portable electronic devices is the main cause of the back problems. Recently, in order to prevent the spinal pain, sitting posture monitoring systems have been developed in the literature to assess the posture of a seated person in real-time and improve sitting posture. The purpose of this study is to review the recent posture monitoring systems. The review is based on a literature search in PubMed, IEEE Xplore and Science Direct. We studied the main characteristics of the posture monitoring systems, the used technologies to identify the posture changes over time and the systems limits. The posture systems are classified according to their sensing technologies. This paper can be a valuable source of recent reference for future research in the field of sitting posture monitoring systems.
The United Nations (UN) adopted the seventeen “Sustainable Development Goals” (SDGs) in early September 2015. One of these goals is SDG 11, which refers to the sustainable cities and communities. In this context, local governments face the challenge of aligning with this objective. As a result, they are increasing outreach to their organizational boundaries to involve citizens in policy making and strategy development, continually listening to citizens’ voices. One of the methods citizens use to express themselves is social media. This paper will emphasize social media platforms and specially Twitter to explore the public discourse about cities in the context of SDG 11. We applied descriptive quantitative and qualitative analysis to analyze the tweets that include terms and hashtags referring to the SDG 11. The data analysis process is composed of three major procedures: 1-Engagement analysis, 2-Trends based analysis and 3-Data Insights. Our results show that: 1-the COVID’19 pandemic negatively impacted users engagement towards SDG 11, 2-new technologies such AI and IoT are gaining more importance to help cities reach SDG 11, and 3-the SDGs are related and one SDG can impact other SDGs.
Nowadays, the foot pressure analyze using a wearable sensing systems becomes innovative in clinical and research fields to enable real time care of patients and to accelerate the detection of diseases. The plantar pressure is measured using a smart shoe insole system with multi-sensors placed in different anatomical zones of the foot, the best position and number of sensors depends on the type of analyze. The aim of this systematic review was to assess the measurement of plantar pressure with instrumented smart shoe insole. We studied the main characteristics of the shoe insole systems, and their ability to identify diseases and for efficient real time care of patients. The shoe insole systems are classified according to the number and types of sensors. This paper can be a valuable source of recent references for future research in the field of smart insole systems.
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