Titlebook: Internet of Things Based Smart Healthcare; Intelligent and Secu Suparna Biswas,Chandreyee Chowdhury,Chuan-Ming Liu Book 2022 The Editor(s)

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Main Challenges and Concerns of IoT Healthcareaces, enhancing the quality of living as well as saving lives during medical emergencies. IoT ecosystem renders time-saving services through technologies, provides expert diagnosis to critical ailments remotely, increases the timeliness of treatments, and also eases financial pressure on a patient.

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Human Activity Recognition Systems Based on Sensor Data Using Machine Learninges of sensors (wearable, wireless, and ambient). The huge amount of sensor data acquired by IoHT sensors allows for performing accurate HAR. The HAR involves detection/classification problems, e.g. fall detection and seizer detection, where ML is used extensively, at its heart. A lot of ML/DL techni

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Human Activity Recognition Systems Based on Audio-Video Data Using Machine Learning and Deep Learninh smartphone based sensory data. Different types of data have their own advantages and disadvantages. This chapter discusses the implications of various types of data in HAR. Moreover, the primary objective is to enhance the performance of the identification of the human physical activities to make

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Quantitative Assessment of Smartphone Usage in College Students—A Digital Phenotyping Approachnt through digital phenotype on a cohort of 47 college students over one and half months at our institute. We quantify the total time spent on physical activity, social interaction, and sleep. We also quantify the smartphone usage duration per day and discuss the potential impact of phone use on stu

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Social Data Analysis Techniques and Applicationsed to be figured out as social data applications to continue more research on it. On the other hand, social network analysis (SNA) is a modern research approach which measures or discovers hidden relationships, connection or trends of complex healthcare systems and used for both methodological tool