Context-Aware Activity Recognition Systems

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Abstract Accurate estimation of energy expenditure (EE) plays a critical role in combating physical inactivity and obesity. This study aimed to develop a new personalized EE estimation model that goes beyond standard accelerometer data by integrating physiological measurements, walking characteristics, and advanced ar…

Yaşlanma ve yaşlılık, son yüzyılın en önemli toplumsal olaylarından birisi olarak ülkemiz Türkiye'de dahil küresel boyutta etkisini göstermiştir. Giderek yaşlanan nüfus kendisiyle birlikte birçok problemi beraberinde getirmektedir. Bu durum, yaşlıları ve yaşlı sorunlarını hedefleyen geronteknolojinin önemini arttırmak…

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Smart home technologies play a crucial role in energy efficiency and user comfort. However, commercial systems are often expensive and lack customizable security features. This study presents a cost-effective, hybrid-controlled smart home automation prototype designed with microcontroller (MCU) and Bluetooth communica…

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Preprint. This is the authors' own version and has not been peer reviewed. The proliferation of Internet of Things (IoT) devices generates large volumes of sensor data, much of it adding little information beyond prior transmissions. This paper presents SmartMQ, a semantic-aware transmission filtering framework operat…

Preprint. This is the authors' own version and has not been peer reviewed. The proliferation of Internet of Things (IoT) devices generates large volumes of sensor data, much of it adding little information beyond prior transmissions. This paper presents SmartMQ, a semantic-aware transmission filtering framework operat…

Banyo ve tuvalet gibi ıslak zeminlerde meydana gelen düşme kazaları, özellikle yaşlı ve engelli bireyler için ciddi yaralanmalara ve hatta can kayıplarına yol açan önemli bir halk sağlığı sorunudur. Bu alanlarda mahremiyet kaygıları nedeniyle geleneksel optik kameraların kullanımı mümkün olmamaktadır. Bu çalışmada, ma…

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The growing prevalence of chronic conditions, such as dementia, diabetes, and hypertension, driven by an ageing global population, together with increasing demand for personalised healthcare, has significantly accelerated the development of everyday wearable sensor technologies. These devices, playing a crucial role i…

This paper introduces a skeleton-based action recognition method. This method uses Spatio-Temporal Graph Convolutional Networks (ST-GCN) and adaptive attention mechanisms. Currently, skeletal data is the main target for human action recognition in pattern recognition because they are smaller, less affected by noise, a…