The structure and performance of neural networks are intimately connected, and by use of evolutionary algorithms, neural network structures optimally adapted to a given task can be explored. Guiding such neuroevolution ...

This paper analyzes work activity in the home, e.g., cleaning, performed by two actors, a human and a robot. Nowadays, there are attempts to automate this activity through the use of robots. However, the activity of cleaning, ...

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 ...

Collaborative robots are becoming more common on factory floors as well as regular environments, however, their safety still is not a fully solved issue. Collision detection does not always perform as expected and collision ...

If robots are to become ubiquitous, they will need to be able to adapt to complex and dynamic environments. Robots that can adapt their bodies while deployed might be flexible and robust enough to meet this challenge. ...

We present a comprehensive study of state-of-the-art algorithms for the prediction of sensor events and activities of daily living in smart homes. Data have been collected from eight smart homes with real users and 13-17 ...

A microfluidic laminar flow cell (LFC) forms an indispensable component in single-molecule experiments, enabling different substances to be delivered directly to the point under observation and thereby tightly controlling ...

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) ...

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 ...

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 ...

Sampling-based motion planning is a powerful tool in solving the motion planning problem for a variety of different robotic platforms. As its application domains grow, more complicated planning problems arise that challenge ...

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 ...

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 ...

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 ...

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 ...

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 ...

We examine how robot movement can help human-robot interaction in the context of a robot helping people over 60-years old at home. Many people are not familiar with a robot moving in their home. We present four movement ...

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 ...

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 ...

In recent years, there has been increased attention on the possible impact of future robotics and AI systems. Prominent thinkers have publicly warned about the risk of a dystopian future when the complexity of these systems ...

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 ...

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 ...

Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen circumstances might occur that affect their well-being. Technologies that assist the elderly in independent living are essential ...

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 ...

Falls in homes of the elderly, in residential care facilities and in hospitals commonly occur in close proximity to the bed. Most approaches for recognizing falls use cameras, which challenge privacy, or sensor devices ...

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 ...

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 ...

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 ...

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 ...

Links between music and body motion can be studied through experiments called sound-tracing. One of the main challenges in such research is to develop robust analysis techniques that are able to deal with the multidimensional ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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, ...

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 ...

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 ...

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 ...