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Now showing items 1-38 of 38
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2023)
Abstract—We appreciate well-functioning technology being able to also personalize its services. However, to protect privacy and avoid a potential misuse of personal data, we are encouraged to limit the amount of personal ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
ZRob is a robotic system designed for playing a snare drum. The robot is constructed with a passive flexible spring-based joint inspired by the human hand. This paper describes a study exploring rhythmic patterns by ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2022)
Intelligent robots aimed for performing music and playing musical instruments have been developed in recent years. With the advancements in artificial intelligence and robotic systems, new capabilities have been explored ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2022)
Generating genuinely creative and novel artifacts with machine learning is still a challenge in the world of computational science. A creative machine learning agent can be beneficial for applications where novel solutions ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2021)
In robot drumming, performing double stroke rolls is a key ability. Human drummers learn to play double strokes by just trying it several times. For performing it, a model needs to be learned to provide anticipatory commands ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2021)
Abstract—Identifying emotion from speech has a wide range of applications and has drawn special interests in research to improve the human-computer interaction experience. Traditional machine learning approaches usually ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2021)
Modern technical systems are increasingly composed of heterogeneous components that are situated in variable environments. In nature, organisms can temporarily adapt their behaviour to novel stimuli with behavioural ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2021)
Musical Rhythms can be modeled in different ways. Usually the models rely on certain temporal divisions and time discretization. We have proposed a generative model based on Deep Reinforcement Learning (Deep RL) that can ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2020)
In acoustic instruments, sound production relies on the interaction between physical objects. Digital musical instruments, on the other hand, are based on arbitrarily designed action--sound mappings. This paper describes ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Generating convincing music via deep neural networks is a challenging problem that shows promise for many applications including interactive musical creation. One part of this challenge is the problem of generating convincing ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
We introduce a machine learning technique to autonomously generate novel melodies that are variations of an arbitrary base melody. These are produced by a neural network that ensures that (with high probability) the melodic ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
RaveForce is a programming framework designed for a computational music generation method that involves audio sample level evaluation in symbolic music representation generation. It comprises a Python module and a SuperCollider ...
(Book chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
This work proposes a novel facial expression recognition approach to contribute to better human-machine interactions. To do that, edge features in facial expression images are combined with a recurrent neural network (RNN) ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper is about creating digital musical instruments where a predictive neural network model is integrated into the interactive system. Rather than predicting symbolic music (e.g., MIDI notes), we suggest that predicting ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
A significant problem of using deep learning techniques is the limited amount of data available for training. There are some datasets available for the popular problems like item recognition and classification or self-driving ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
For robots to handle the numerous factors that can afect them in the real world, they must adapt to changes and unexpected events. Evolutionary robotics tries to solve some of these issues by automatically optimizing a ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
As the application domains of sampling-based motion planning grow, more complicated planning problems arise that challenge the functionality of these planners. One of the main challenges in the implementation of a ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Many works in collaborative robotics and human-robot interaction focuses on identifying and predicting human behaviour while considering the information about the robot itself as given. This can be the case when sensors ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
The field of collaborative robotics and humanrobot interaction often focuses on the prediction of human behaviour, while assuming the information about the robot setup and configuration being known. This is often the case ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
A robot moving in the home is a new experience for most people. Classifying the different ways that humans and robots move together can help in designing interactions. In this paper, we first put robots’ movements into two ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
Touch-screen musical performance has become commonplace since the widespread adoption of mobile devices such as smartphones and tablets. However, mobile digital musical instruments are rarely designed to emphasise collaborative ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
MicroJam is a mobile app for sharing tiny touch-screen performances. Mobile applications that streamline creativity and social interaction have enabled a very broad audience to develop their own creative practices. While ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2014)
We present Funky Sole Music, a musical interface employing a sole embedded with three force sensitive resistors in combination with a novel algorithm for continuous movement classification. A heuristics-based music engine ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2014)
We consider the issue of how a flexible musical space can be manipulated by users of an active music system. The musical space is navigated within by selecting transitions between different sections of the space. We take ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2013)
Synchronisation is an important part of collaborative music systems, and with such systems implemented on mobile devices, the implementation of algorithms for synchronisation without central control becomes increasingly ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2013)
In this paper, we present an open source partial reconfiguration (PR) system which is designed for portability and usability serving as a reference for engineers and students interested in using the advanced reconfiguration ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
We present a new wireless transceiver board for the CUI32 sensor interface, aimed at creating a solution that is flexible, reliable, and with little power consumption. Communication with the board is based on the ZigFlea ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2012)
This paper presents an experiment on sound tracing, meaning an experiment on how people relate motion to sound. 38 participants were presented with 18 short sounds, and instructed to move their hands in the air while acting ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
The paper presents the interactive music system SoloJam, which allows a group of participants with little or no musical training to effectively play together in a ``band-like'' setting. It allows the participants to take ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
The paper presents an analysis of the quality of motion data from an iPod Touch (4th gen.). Acceleration and orientation data derived from internal sensors of an iPod is compared to data from a high end optical infrared ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
Our research on music-related actions is based on the conviction that sensations of both sound and body motion are inseparable in the production and perception of music. The expression "musicrelated actions" is here used ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2011)
In this paper, a new project named Context Switching Reconfigurable Hardware for Communication Systems (COSRECOS) is introduced. The project started autumn 2009 and consists of applying reconfigurable hardware technology ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2010)
This paper presents a comparison of different configurations of a wireless sensor system for capturing human motion. The systems consist of sensor elements which wirelessly transfers motion data to a receiver element. The ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2010)
In this paper, we demonstrate systems based on Spartan-6 series FPGAs that provide full support for active partial run-time reconfiguration. We will summarize design factors for successfully applying run-time reconfiguration, ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2010)
The paper reports on the development and activities in the recently established fourMs lab (Music, Mind, Motion, Machines) at the University of Oslo, Norway. As a meeting place for researchers in music and informatics, the ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2010)
In this paper we present a method for studying relationships between features of sound and features of movement. The method has been tested by carrying out an experiment with people moving an object in space along with ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2009)
The Robotics and Intelligent Systems group conducts research in the interdisciplinary field of robotics, machine learning, reconfigurable hardware and sensing human actions. The group is affiliated to the Department of ...