Md. Milon Islam, Ashikur Rahaman, Md. Rashedul Islam
Healthcare monitoring system in hospitals and many other health centers has experienced significant growth, and portable healthcare monitoring systems with emerging technologies are becoming of great concern to many countries worldwide nowadays. The advent of Internet of Things (IoT) technologies fa...
Mst. Alema Khatun, Mohammad Abu Yousuf, Sabbir Ahmed, Md. Zia Uddin et al.
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in intelligent home settings. Inertial sensors, e.g., acc...
Mohammad Ashfak Habib, Mas Sahidayana Mohktar, Shahrul Bahyah Kamaruzzaman, Kheng Seang Lim et al.
This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall detection and prevention. Falls are considered as major health hazards for both the elderly and people with neurodegenerative diseases. To mitigate the adverse consequences of falling, a great deal of research ...
Nadeem Ahmed, Jahir Ibna Rafiq, Md. Rashedul Islam
Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties of motion sensors like accelerometers and gyroscope...
Iqbal H. Sarker, Mohammed Moshiul Hoque, Md. Kafil Uddin, Tawfeeq Alsanoosy
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of computing with smart mobile phones that typically allows the devices to function in an intelligent manner. Popular AI techniques include machine learning and deep learning methods, natural language processin...
Yuang Chen, Thomas Kunz
One of the challenges faced by today's Internet of Things (IoT) is to efficiently support machine-to-machine communication, given that the remote sensors and the gateway devices are connected through low bandwidth, unreliable, or intermittent wireless communication links. In this paper, we quantitat...
Mai Al-Ammar, Suheer Al-Hadhrami, AbdulMalik S. Al‐Salman, Abdulrahman Alarifi et al.
The user location information represents a core dimension as understanding user context is a prerequisite for providing human-centered services that generally improve quality of life. In comparison with outdoor environments, sensing location information in indoor environments requires a higher preci...
Adam A. Alli, Muhammad Mahbub Alam
The Fog computing paradigms are becoming popular means of utilizing resources optimally by the IoT devices, extending quality of service to the vicinity of the user, and achieve fast processing in the IoT-cloud ecosystems. Fog models allow fast processing of data, easy to reach storage, and reduce b...
Niloy Sikder, Abdullah-Al Nahid
In Artificial Intelligence, Human Activity Recognition (HAR) refers to the capability of machines to identify various activities performed by the users. The knowledge acquired from these recognition systems is integrated into many applications where the associated device uses it to identify actions ...
Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Yousuf et al.
Md. Milon Islam, Omar Tayan, Md. Repon Islam, Md. Saiful Islam et al.
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the elderly. Accidental falls also have a remarkable impact on the costs of national health systems. Thus, extensive research and development of fall detection and rescue systems are a necessity. Technologies related...
Md Golam Morshed, Tangina Sultana, Aftab Alam, Young-Koo Lee
Human action recognition systems use data collected from a wide range of sensors to accurately identify and interpret human actions. One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-base...
Xiang Cheng, Luoyang Fang, Xuemin Hong, Liuqing Yang
The worldwide rollout of 4G LTE mobile communication networks has accelerated the proliferation of the mobile Internet and spurred a new wave of mobile applications on smartphones. This new wave has provided mobile operators an enormous opportunity to collect a huge amount of data to monitor the tec...
Md Jaber Al Nahian, Tapotosh Ghosh, Md. Hasan Al Banna, Mohammed Aseeri et al.
Fall causes trauma or critical injury among the geriatric population which is a second leading accidental cause of post-injury mortality around the world. It is crucial to keep elderly people under supervision by ensuring proper privacy and comfort. Thus the elderly fall detection and prediction usi...
Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan et al.
This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones. In the area of machine learning and data science, a tree-like model as that of decision tree is considered as one of the most popular classification techniques...