Journal of Ambient Intelligence and Smart Environments - Volume 11, issue 4

Authors: Aghajan, Hamid | Härmä, Aki | I-Kai Wang, Kevin | Augusto, Juan Carlos

Article Type: Editorial

DOI: 10.3233/AIS-190527

Citation: Journal of Ambient Intelligence and Smart Environments, vol. 11, no. 4, pp. 299-300, 2019

Authors: Patel, Ashish | Shah, Jigarkumar

Article Type: Research Article

Abstract: Activity and behaviour monitoring of inhabitants play an essential role in an ambient environment. Different researchers proposed many promising solutions; this discipline, however, needs more accurate results. The main reason for this insufficiency is the imprecision data generated by the intelligent algorithms due to irregularities and unpredictability involved in users action and behaviour. The success of today’s system primarily ends on controlled and well-defined activities and conduct. However, in the real-world scenario, this is difficult to accomplish and requires more sophisticated strategies. Self-learning systems, in most cases, used to develop state-of-the-art in smart and cognitive environments. In this paper, we …present a comprehensive review of different activity and behaviour analysis methods to identify seventeen critical challenges allied to ambient assisted living systems (AALs). Our primary objective is to offer a comprehensive guide to select the best approach to determine activity and human behaviour in the smart environment. Moreover, the study will present a better understanding of existing problems and a direction for future research. Show more

Keywords: Activity recognition, ambient intelligence, assisted living, anomaly detection, smart environment

DOI: 10.3233/AIS-190529

Citation: Journal of Ambient Intelligence and Smart Environments, vol. 11, no. 4, pp. 301-322, 2019

Authors: Ferreira, Ana | Teles, Soraia | Vieira-Marques, Pedro

Article Type: Research Article

Abstract: Ambient Assisted Living (AAL) solutions have been conquering an important place among strategies to promote ageing in place and address the societal challenges of population ageing. Related available smart solutions and their pervasiveness raise security challenges requiring more flexible and better adapted characteristics. However, such solutions are frequently described in the literature without any reference to access control and the few existing works in the AAL field focus mostly on authentication or physical access control. This paper describes the SoTRAACE (Socio-Technical Risk-Adaptable Access Control) model, designed to better adapt users’ access control needs to each AAL security context. SoTRAACE takes …into account contextual, technological and user’s interaction profiling functionalities and performs a quantitative and qualitative risk assessment analysis to support a smart decision-making on the most secure, private and usable way to access and display information. SoTRAACE’s unique advantages for improved availability and privacy are discussed in contrast with existing access control models and within two AAL for mental health use case scenarios. SoTRAACE’s versatility adapts to different situations and user’s goals, whether these are patient or caregiver oriented, constituting an innovative and complete proposal for enhanced trust and security in AAL or similar smart environments. Show more

Keywords: Security and privacy, access control, ambient assisted living (AAL), trust in smart environments

DOI: 10.3233/AIS-190531

Citation: Journal of Ambient Intelligence and Smart Environments, vol. 11, no. 4, pp. 323-334, 2019

Authors: Wu, Huiyue | Yang, Liuqingqing | Fu, Shengqian | Zhang, Xiaolong (Luke)

Article Type: Research Article

Abstract: This paper reports on work that explores natural gesture inputs from end-users for television use in a typical living room setting. First, we derive a set of 19 user-defined freehand gestures for regular TV control tasks. This study helps us to determine the gestures preferred by TV viewers and reduce the risk of developing an unusable, ineffective system. Then, based on this user-defined gesture set, we propose a unified framework to address specific problems in a complex real-world TV viewing environment, including 1) the automatic exclusion of many meaningless daily actions by TV viewers, 2) the capability to recognize both static and …dynamic gestures simultaneously, as well as one- and two-handed gestures simultaneously, and 3) the continuous recognition of multiple dynamic gestures in the air (e.g., a channel switching gesture for channel 127). Experimental results show that our approach allows users to interact with TV-based applications more flexibly and effectively, with improved user experience and user satisfaction. Finally, we highlight the implications of our work for the design and development of related freehand gesture applications. Show more

Keywords: Smart home, human–computer interaction, user-defined gestures, gesture recognition, coupled hidden Markov model, television, remote control

DOI: 10.3233/AIS-190528

Citation: Journal of Ambient Intelligence and Smart Environments, vol. 11, no. 4, pp. 335-354, 2019

Authors: Moreira Neto, Maurício | da Rocha, Atslands Rego | Gomes, Danielo G. | Moreira, Leonardo Oliveira | Delicato, Flávia Coimbra

Article Type: Research Article

Abstract: Recently, semantic clustering has been proposed to save energy in wireless sensor networks. Semantic clustering organizes the topology in clusters composed of semantically correlated nodes whose leader (collector) is periodically elected. Since collectors’ energy depletion is faster than the inner cluster nodes, suitable election mechanisms are required to avoid the energy hole problem. A potential drawback in adopting traditional election mechanisms is their reactive features since they usually wait for the leader nodes death to then elect a new leader. This behavior may cause holes in the network. The semantic clustering has presented better energy efficiency than other classical clustering methods. …We propose PALES to reduce power consumption of Wireless Sensor and Actuator Network (WSAN) through a predictive election of semantic collectors using the ARIMA method. PALES extends an existing decentralized semantic clustering mechanism, inheriting its properties of self-adaptation, self-reconfiguration, and self-organization through a collaborative process. Results show that the PALES election increased up to 73% the collector battery saving in comparison to reactive election methods. Show more

Keywords: Clustering algorithms, clustering methods, prediction methods, semantics, wireless sensor networks

DOI: 10.3233/AIS-190530

Citation: Journal of Ambient Intelligence and Smart Environments, vol. 11, no. 4, pp. 355-367, 2019

Authors: Sarker, Iqbal H.

Article Type: Other

Abstract: This PhD research formulates the problem of mining contextual behavioral rules for individual users utilizing their smartphone data. In particular, we propose a dynamic time-series segmentation technique for behavioral data clustering, a machine learning rule-based classification technique for context-aware usage behavior modeling and prediction, and a recency-based rule learning approach for dynamic updating and management of the discovered behavioral rules, to achieve our goal.

Keywords: Context-aware computing, mobile data mining, machine learning, clustering, classification, associations, user behavior modeling, personalization, rule-based model, predictive analytics, smartphone & IoT services, intelligent systems

DOI: 10.3233/AIS-190514

Citation: Journal of Ambient Intelligence and Smart Environments, vol. 11, no. 4, pp. 369-370, 2019