Journal of Ambient Intelligence and Humanized Computing

https://link.springer.com/journal/12652

List of Papers (Total 774)

Physiological parameters extraction by contactless accelerometric signal analysis during sleep

Since sleep problems, like sleep apnea, may pose a serious health concern, the quality of a person’s sleep is a good indicator of overall wellbeing. It is then crucial to continuously monitor people when they are sleeping, especially if they have cardiac or respiratory conditions. The goal of the present paper is to show how to extract physiological parameters from accelerometric...

Data-driven approaches for sustainable agri-food: coping with sustainability and interpretability

Motivated by the increasing interest in machine learning algorithms for data-driven applications in agri-food addressing sustainability issues and by the ongoing discussion on the interpretability and sustainability of such algorithms, we compare congruently the performance of some state-of-the-art techniques and a new version (here proposed for the first time) of Co-Active Neuro...

Time series numerical association rule mining variants in smart agriculture

Numerical association rule mining offers a very efficient way of mining association rules, where algorithms can operate directly with categorical and numerical attributes. These methods are suitable for mining different transaction databases, where data are entered sequentially. However, little attention has been paid to the time series numerical association rule mining, which...

Ontology learning from relational database: a review

A relational database (RDB) is a digital database that uses components (such as constraints, tables, keys, etc.) to manage data in a structured manner. Because of these components, RDBs are considered ’poor’ from a semantic point of view, precisely because of the structure-oriented nature of the components used. One way to eliminate this limitation is to transform the RDB into an...

Two-stage complex action recognition framework for real-time surveillance automatic violence detection

Violent action classification in community-based surveillance is a particularly challenging concept in itself. The ambiguity of violence as a complex action can lead to the misclassification of violence-related crimes in detection models and the increased complexity of intelligent surveillance systems leading to greater costs in operations or cost of lives. This paper...

A multi-objective reinforcement learning approach for furniture arrangement with optimal IEQ in multi-occupant offices

Indoor Environmental Quality (IEQ) concerns several aspects of environmental comforts, such as thermal, visual and acoustics comfort. In particular, IEQ plays a relevant role in workers’ satisfaction since it strongly influences health, well-being, and productivity. Specifically, it has been demonstrated that the furniture configuration in working spaces affects the occupant’s...

EOG acquisition system based on ATmega AVR microcontroller

This paper presents a hardware and software of an electrooculogram (EOG) acquisition system based on ATmega AVR microcontroller for the acquisition of vertical and horizontal eye movements. The presented system is used to acquire a dataset of eye movements for volunteers. This system gives two channels representing vertical and horizontal EOG signals. The frequency range of the...

Sharing the knowledge: exploring cultural heritage through an ontology-based platform

The exponential growth of data has made ontology modeling an up-and-coming research area for knowledge representation. One of the domains of interest is represented by Cultural Heritage, in which modeling of environments, such as archaeological parks, could lead to their protection and enhancement. In this scenario, the valuable dataset on the Naples Urban Archaeological Park...

Autonomous face mask detection using single shot multibox detector, and ResNet-50 with identity retrieval through face matching using deep siamese neural network

The COVID-19 pandemic poses a global health challenge. The World Health Organization states that face masks are proven to be effective, especially in public areas. Real-time monitoring of face masks is challenging and exhaustive for humans. To reduce human effort and to provide an enforcement mechanism, an autonomous system has been proposed to detect non-masked people and...

Exploring agent-based chatbots: a systematic literature review

In the last decade, conversational agents have been developed and adopted in several application domains, including education, healthcare, finance, and tourism. Nevertheless, chatbots still need to address several limitations and challenges, especially regarding personalization, limited knowledge-sharing capabilities, multi-domain campaign support, real-time monitoring, or...

Biometrics for Industry 4.0: a survey of recent applications

The Fourth Industrial Revolution, also known as Industry 4.0, represents the rise of digital industrial technology that is propagating at an exponential rate compared to the previous three revolutions. Interoperability is a basis of production, where there is a continuous exchange of information between machines and production units that act autonomously and intelligently...

Automatic detection of health misinformation: a systematic review

The spread of health misinformation has the potential to cause serious harm to public health, from leading to vaccine hesitancy to adoption of unproven disease treatments. In addition, it could have other effects on society such as an increase in hate speech towards ethnic groups or medical experts. To counteract the sheer amount of misinformation, there is a need to use...

Deep face segmentation for improved heart and respiratory rate estimation from videos

The selection of a suitable region of interest (ROI) is of great importance in camera-based vital signs estimation, as it represents the first step in the processing pipeline. Since all further processing relies on the quality of the signal extracted from the ROI, the tracking of this area is decisive for the performance of the overall algorithm. To overcome the limitations of...

A new uncertain multi-objective programming model with chance-entropy constraint for advertising promotion

The COVID-19 outbreak has forced people to stay at home to prevent the spread of the virus. In this case, social media platforms have become the main communication venue for people. Online sales platforms have also become the main field for people’s daily consumption. So, how to make full use of social media to carry out online advertising promotion, and then achieve better...