Human Behavior Prediction Though Noninvasive and Privacy-Preserving Internet of Things (IoT) Assisted Monitoring

Abstract

As the supporting technologies for Ambient Assistant Living (AAL) in Internet of Things (IoT) domain have become more powerful and more attractive, the related systems will be widely deployed and put into action. With all associated embedded IoT sensing devices, how to maintain users' privacy and data security is a highly concerned problem. There are generally two approaches to protect privacy. One is to implement complex security protocols to guarantee the safety of sensing, storage and data transmission. Another one is to prevent the privacy issues and concerns from the source. This proposed research will provide a concept of a framework that can support behaviour monitoring through noninvasive and privacy preserving sensing. The data collected, transmitted and used for analysing in this framework is sensing information with low richness. This framework aims to increase the users' perceived privacy in existing monitoring systems to avoid data over-collection and over exposure problems.

Big Data and Personalisation for Non-Intrusive Smart Home Automation

“…Identifying the real-time human behaviour patterns associated in a smart home is an opportunity for modelling personalisation [14,23]. This can be achieved via user profiling of real-time data generated from the devices and sensors operated by the user [34].…”

“…However, they lack the essential intelligent computations for a smart home environment. By leveraging on rich data exchange among the sensors in an IoT network, the decision rules defined within the computational elements can be employed to intelligently operate various other essentials of the home environment resulting in a smart home automation [14]. Hence, in this paper, apart from user presence detection, we explore integration of intelligent computation of user's preferences based on historical big data collected in an IoT environment using a non-intrusive modelling approach.…”

“…The majority of existing studies have explored intertwining only a couple of domains, and predominantly in other problem domains with the least application to smart homes [17,18]. Further, only recently personalisation and non-intrusiveness have been given much importance with more IoT technologies supporting Ambient Assistant Living (AAL) using behaviour monitoring through non-invasive and privacy preserving sensing in many developed countries [6,14]. Several use cases are being developed in the AAL domain and this paper aims to advance further in this research direction.…”

Ambient Assisted Living: A Review of Technologies, Methodologies and Future Perspectives for Healthy Aging of Population

“…The aspects concerning privacy and the protection of sensitive data must consider the legal obligations that may arise whenever a system provides for the collection, storage, and transmission of data whose misuse can compromise people's rights and freedoms. These technical issues are not discussed here, as they fall outside the scope of this review, but their significance is widely recognized for the development of complex AAL architectures, as extensively documented in literature [27][28][29][30][31][32][33][34].…”

Internet of Things Assisted Monitoring Using Ultrasound-Based Gesture Recognition Contactless System

“…This advent enabled the Internet of Things (IoT) where several automated devices are interconected trough the Internet [3]. Several IoT services are emerging on several areas, such as, e-learning, vehicular networks, smart cities solutions, among others, but especially on remote healthcare [4,5,6]. Today, we easily connect our smartphone via wifi to a store's payment system, or use a digital kiosks to buy services, such as tickets for the metro or bus.…”