Internet of Things has developed quickly to share data from billions of physical devices. Completeness of data is important especially in crowd sensing Internet of Things. How to recover the lost data is a fundamental operation to utilize the coming of Internet of Things. Existing data recovery algorithms depend heavy on the accuracy distribution of environmental data and result in bad performance

The aim of this professional Doctor of Creative Industries (DCI) Research Project was to investigate music-making practice and self as a practitioner in the process of creating and producing a DIY music artefact, specifically to investigate why I as the practitioner felt an authentic connection with one form of music-making (acoustic instrument-based) and not a connection with another form of music-making

Similarly to the standardization effort initiated for the World Wide Web in the 1990s, the World Wide Web Consortium is currently working on the Web of Things (WoT) specification. This initiative aims to tackle current fragmentation in the so-called Internet of Things by using existing Web standards. The ultimate goal is to cope with the increasing number of devices that are being connected to the

Mobile crowd sensing is a novel large-scale sensing pattern, which applies users’ smart devices to analyze social context and human activity, and then learns the intelligent information serving for various innovative services. An augmented reality (AR) system can bring more authentic experience for human life, and more and more scholars are increasingly interested in this technology. However, there

Understanding how to take into account the breadth of considerations required by third-wave HCI remains a challenge when designing technologies. This requires an understanding of what embodiment means, and in particular, a collective notion of embodiment. Within the field of digital musical instrument (DMI) design, the need for a DMI to support musical agency has been recognised along with a view of

Collaborative virtual environments allow remote users to work together in a shared 3D space. To take advantage of the possibilities offered by such systems, their design must allow the users to interact and communicate efficiently. One open question in this field concerns the avatar fidelity of remote partners. This can impact communication between the remote users, more particularly when performing

This paper reports the results of a 2-year-long imagery analysis about microcephaly in Latin America from the perspective of caregivers. The content analysis included 500 images associated with the hashtag microcefalia posted on Instagram in 2017 and 2018. Microcephaly affected more than 4,000 babies in Latin America in a few years, and the quick outbreak of the epidemic made Instagram an accessible

Taxi passenger demand prediction is of great significance to perceive citywide human mobility and make a lot of urban sensing applications more convenient. There are two major challenges to develop accurate predictive models, i.e., the complexity of the spatial-temporal dependencies as well as the dynamicity caused by some unpredictable dependencies. Although existing work uses various methods such

We propose an environment for assisting in the transfer of motor skills by supporting nonverbal communication with wearable haptic technology. The proposed setting comprises a human expert and several learners, all endowed with wearable devices. Learners benefit from the automated feedback obtained via wearable technology regarding a desired move relevant to a specific motor skill. Similarly, the expert

In recent years, machine learning has developed rapidly, enabling the development of applications with high levels of recognition accuracy relating to the use of speech and images. However, other types of data to which these models can be applied have not yet been explored as thoroughly. Labelling is an indispensable stage of data pre-processing that can be particularly challenging, especially when

Social media platforms have been extensively used during natural disasters. However, most prior work has lacked focus on studying their usage during disasters in the Global South, where Internet access and social media usage differs from developing countries. In this paper, we study social media use in the aftermath of the 7.1-magnitude earthquake that hit Mexico on the 19th of September, 2017 (known

The pervasiveness of public displays is prompting an increased need for “fresh” content to be shown, that is highly engaging and useful to passerbys. As such, live or time-sensitive content is often shown in conjunction with “traditional” static content, which creates scheduling challenges. In this work, we propose a utility-based framework that can be used to represent the usefulness of a content

The timely delivery of life-saving products such as medicines from the pharmacy to the patient’s location requires availability of an adequate road infrastructure and reliable directions to the patient’s home. However, in many regions of low- and middle-income countries (LMIC), the road infrastructure is in poor state, and medicine delivery is affected by flooded roads, unsafe routes, congestion, traffic

As data collected and provided by Internet of Things (IoT) devices power an ever-growing number of applications and services, it is crucial that this data can be trusted. Data provenance solutions combined with blockchain technology are one way to make data more trustworthy by providing tamper-proof information about the origin and history of data records. However, current blockchain-based solutions

Face detection perceives great importance in surveillance paradigm and security paradigm areas. Face recognition is the technique to identify a person identity after face detection. Extensive research has been done on these topics. Another important research problem is to detect concealed faces, especially in high-security places like airports or crowded places like concerts and shopping centres, for

Two studies explore whether people’s digital filing behaviors are affected by emotional factors when engaging in personal information management (PIM). Cognitive science research shows that people’s information categorization behaviors are mood-dependent, so that positive moods induce larger, more inclusive organizational categories, whereas negative moods elicit more fine-grained organization. However

Poor adherence to prescribed drug treatments is one of the leading causes of illness and treatment failure, which increases re-hospitalizations. In Mexico, the factors that most contribute to the non-adherence problem are age, polypharmacy, and education. For instance, elderly patients are prescribed with an average of seven medications after they are discharged from hospitals, and 25% of them face

The advances in Internet of things lead to an increased number of devices generating and streaming data. These devices can be useful data sources for activity recognition by using machine learning. However, the set of available sensors may vary over time, e.g. due to mobility of the sensors and technical failures. Since the machine learning model uses the data streams from the sensors as input, it

This article presents a study concerning the evaluation of a smart home control system for elderly people with a sample of 10 users in a city in the interior of Brazil. The control system consisted of a prototype using a Web-based mobile application, developed considering requirements obtained from a previous study and recommendations from the literature. The test participants were over 60 years old

Recent W3C recommendations for the Web of Things (WoT) and the Social Web are turning hypermedia into a homogeneous information fabric that interconnects heterogeneous resources: devices, people, information resources, abstract concepts, etc. The integration of multi-agent systems with such hypermedia environments now provides a means to distribute autonomous behavior in worldwide pervasive systems

Recommender systems are expected to promote a student-centered teaching and learning environment. The age of information abundance has proven to need such systems. Recommender systems have been used to recommend learning items related to students’ research interests. Serendipity has also made its way into the academic environment, as systems recommend items that are useful and surprising to learners

The risk of falls among the elderly population is one that may lead to dire consequences. It can significantly affect the quality of life of the victims and even lead to their premature death. Many technological tools have been proposed in the literature to detect falls, but little effort has been done regarding their prevention. In this paper, our research team proposes an inexpensive open vibration

Identification of human activity considering social interactions and group dynamics non-intrusively has been one of the fundamental problems and a challenging area of research. In real life, it is required for designing human-centric applications like assisted living, health care, and creating a smart home environment. As human beings spend 90% of time indoors, such a system will be helpful to monitor

Periodic sensor networks (PSNs) represent one of the important networks which are used in Internet of Things (IoTs) future. It has gained a rapid increased interest due to its wide use in various fields of applications. However, it suffers from the drawback of a limited lifetime as its power supply cannot be replaced or renew due to the nature of its deployment. Much of the research in this area has

Wireless sensor network (WSN) consists of a number of nodes that are mostly distributed in a random way to monitor or control different phenomena, such as military operations, earthquake monitoring, environmental monitoring, factory automation and security. A sensor network is formed from a large number of tiny, low energy, limited processing capability and low-cost devices called sensor nodes (SNs)

Audio description is an accessibility service used by blind or visually impaired individuals. Often accompanying movies, television shows, and other visual art forms, the service provides spoken descriptions of visual content, allowing people with vision loss the ability to access information that sighted people obtain visually. At live theatrical events, audio description provides spoken descriptions

In this paper, we discuss how people’s user experience (UX) of autonomous driving (AD) cars can be understood as a shifting anticipatory experience, as people experience degrees of AD through evolving advanced driver assistance systems (ADAS) in their everyday context. We draw on our ethnographic studies of five families, who had access to AD research cars with evolving ADAS features in their everyday

Autonomous mobility is gaining increasing attraction in the international setting that results in a growing body of literature on various aspects. Preferences regarding the use of autonomous vehicles as an alternative transport mode are investigated in western and advanced countries as it provides the notion about what fraction of population will more inclined towards such technology and under what

The design of computer-supported caregiving technology has generally not acknowledged the complexity and heterogeneity of the informal care provision to older adults. For instance, most Latin American older adults have not been capable to broadly embrace digital technology to interact with their family members. This attitude, complemented with a high commitment derived from a strong filial obligation

Massive scientific and technical literature has recorded the developments of science and technology and contains plentiful knowledge. Researchers have to read scientific literature such as papers, patents, and reports to know the latest developments in time. However, it is difficult for researchers to read all the newly published and relevant literature. So there is an urgent need for scientific literature

This article presents the results of a study based on a group of participants’ interactions with an experimental sound installation at the National Science and Media Museum in Bradford, UK. The installation used audio augmented reality to attach virtual sound sources to a vintage radio receiver from the museum’s collection, with a view to understanding the potentials of this technology for promoting

Despite the ever growing variety and popularity of commercially available electronic percussion (EP) instruments, there are still a significant number of active musicians who prefer to use acoustic drums. Digitally active drum (DAD) is an enhanced snare drum that provides sonic capabilities associated with digital musical instruments in the form of a traditional acoustic drum allowing full use of acoustic

The field of Music Emotion Recognition has become and established research sub-domain of Music Information Retrieval. Less attention has been directed towards the counterpart domain of Audio Emotion Recognition, which focuses upon detection of emotional stimuli resulting from non-musical sound. By better understanding how sounds provoke emotional responses in an audience, it may be possible to enhance

Searching through vast libraries of sound samples can be a daunting and time-consuming task. Modern audio sample browsers use mappings between acoustic properties and visual attributes to visually differentiate displayed items. There are few studies focused on how well these mappings help users search for a specific sample. We propose new methods for generating textural labels and positioning samples

Graphical interpolation systems provide a simple mechanism for the control of sound synthesis by providing a level of abstraction above the engine parameters, allowing users to explore different sounds without awareness of the underlying details. Typically, a graphical interpolator presents the user with a two-dimensional pane where a number of synthesizer presets, each representing a collection of

The proven ability of music to transmit emotions provokes the increasing interest in the development of new algorithms for music emotion recognition (MER). In this work, we present an automatic system of emotional classification of music by implementing a neural network. This work is based on a previous implementation of a dimensional emotional prediction system in which a multilayer perceptron (MLP)

Sound design has been a fundamental component of audiovisual storytelling in linear media. However, with recent technological developments and the shift towards non-linear and immersive media, things are rapidly changing. More sensory information is available and, at the same time, the user is gaining agency upon the narrative, being offered the possibility of navigating or making other decisions.

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Abstract Wireless device-free human sensing is an emerging technique of Internet of Things, which holds great potential for ubiquitous location-based services and human-interaction applications. Although existing studies can detect human appearance, they still neglect to further identify whether a user is approaching a sensor or not, which is critical for fine-grained recognition of human behaviors

Abstract During the last few years, significant attention has been paid to surface electromyographic (sEMG) signal–based gesture recognition. Nevertheless, sEMG signal is sensitive to various user-dependent factors, like skin impedance and muscle strength, which causes the existing gesture recognition models not suitable for new users and huge precision dropping. Therefore, we propose a dual layer

Abstract Several computer systems have been designed for music emotion research that aim to identify how different structural or expressive cues of music influence the emotions conveyed by the music. However, most systems either operate offline by pre-rendering different variations of the music or operate in real-time but focus mostly on structural cues. We present a new interactive system called EmoteControl

Abstract Personalized recommendation of film and television culture is an important content to meet people’s daily cultural needs and social information. Promoting the personalized recommendation of film and television culture is conducive to promoting the more efficient use of network resources. However, in recent years, the film and television culture industry has developed rapidly, and the production

Abstract In order to study the spatial and temporal distribution of visitor flow in the construction of tourism culture, this article first studies and analyzes the space-time behavior of tourists, and divides the environment of the scenic spot into three parts: entrance, exit, and stop. Then, based on the three parts, the time and space distribution data of tourists are collected from five aspects:

Abstract In order to realize the historical sequence establishment of abstract dynamics in the cooperative translation of Korean language under machine learning and generate an abstract representation dynamically of the translation decoding tree in the recursive model during translation decoding. Combining the advantages of the two kinds of neural networks, this paper constructs a recursive recurrent

Abstract With the rapid development of the Internet, it has become an indispensable part of human daily life. Network culture is one of the forms of network information expression, and humans can obtain various information from it. The formation of multiculturalism is inseparable from the effective dissemination of online culture. The information of these cultures not only has an impact on the individual’s

Abstract With the rapid development of artificial intelligence, English is the most widely used language in the world, and English speech recognition has become one of the hot spots in the field of artificial intelligence. In order to promote English culture accurately, this paper uses recurrent neural network and convolutional neural network to recognize the tone and tone color of English comprehensively

Abstract In recent years, due to the booming development of online social networks, fake news has been appearing in large numbers and widespread in the online world. With deceptive words, online social network users can get infected by these online fake news easily, which has brought about tremendous effects on the offline society already. An important goal in improving the trustworthiness of information

Abstract The public sports culture of colleges is based on the basic skills and strategies of the public sports culture curriculum. The study of public sports culture in colleges focuses on the unity and standardization of teaching forms, structures, contents, methods, assessments, and evaluations. This paper considers the various links that affect the public sports culture of colleges, identifies

Abstract Traditional folk culture, which records the track of local historical development, is a historical product reflecting the humanistic style and features and has important historical and cultural value. In the context of big data, analyzing the characteristics of traditional folk culture and excavating the internal relationship and implicit information between traditional folk culture data are

Abstract The cultural museum is one of the places with a large flow of people. Once an emergency occurs, if the people are not evacuated in time, the consequences will be unimaginable. In the event of an emergency, the population speed and evacuation effect are linear in the case of a small population density. However, when the population density is large, the population speed and evacuation effect

Abstract The emergence of Internet music has slowed down the restrictions of space and time on people’s enjoyment of music information services. However, in the face of massive and growing music works, information overload has become the most direct problem, and the need to improve user experience has become very urgent. One of the effective solutions to information overload is recommender system,

Abstract Aiming at the problem that the correlation coefficient between the influencing factors of basketball culture cannot be accurately calculated, a comprehensive evaluation method is proposed to solve the defect that the basketball culture weight is difficult to accurately determine. The integrated method is a combination of analytic hierarchy process (AHP) and improved scatter degree (ISD). Through

Abstract Under the background of large data, demand forecasting of rural tourism based on intelligent algorithm is a new direction to promote the development of rural tourism industry. This paper mainly studies the application of neural network intelligent algorithm in rural tourism. Firstly, from the perspective of inbound tourism demand, the influencing factors of inbound tourism demand are clarified

Abstract This paper introduces the musical haptic wearables for audiences (MHWAs), a class of wearable devices for musical applications targeting audiences of live music performances. MHWAs are characterized by embedded intelligence, wireless connectivity to local and remote networks, a system to deliver haptic stimuli, and tracking of gestures and/or physiological parameters. They aim to enrich musical

Abstract How to efficiently process big data at a low cost is a substantial challenge. Many efficient and economical data processing approaches have been proposed in the fields including business, scientific research, and public administration. Unfortunately, seismic data processing has not achieved the same level of devolvement in the field of oil exploration. While many storage architectures, such

Abstract Interactive public displays are versatile two-way interfaces between the digital world and passersby. They can convey information and harvest purposeful data from their users. Surprisingly little work has exploited public displays for collecting tagged data that might be useful beyond a single application. In this work, we set to fill this gap and present two studies: (1) a field study where

Abstract We describe two proof-of-concept approaches on the sonification of estimated operation states and conditions focusing on two scenarios: a laboratory setup of a manipulated 3D printer and an industrial setup focusing on the operations of a punching machine. The results of these studies form the basis for the development of an “intelligent” noise protection headphone as part of Cyber Physical

There are situations when someone finds a certain object or its remains. Particularly the second case is complicated, because having only a part of the element, it is difficult to identify the full object. In the case of archeological excavations, the fragment should be classified in order to know what we are looking at. Unfortunately, such classification may be a difficult task. Hence, it is essential

The ability to integrate, manage, and analyze large amounts of data extracted from different sources is becoming a key asset for businesses, organizations, and research institutions that deal with the cultural heritage domain. Nowadays, it is well known that modern technologies and the massive use of mobile devices can contribute to generate an enormous flow of data, whose collection, analysis, and

Smart city infrastructures such as transportation and energy networks are evolving into so-called cyber physical social systems (CPSSs), which collect and leverage citizens’ data in order to adapt services to citizens’ needs. The privacy implications of such systems are, however, significant and need to be addressed. Current systems either try to escape the privacy challenge via anonymization or use