Maria Klara Jedrzejewska, Adrian Zjawinski, Bartlomiej Stasiak
{"title":"Generating Musical Expression of MIDI Music with LSTM Neural Network","authors":"Maria Klara Jedrzejewska, Adrian Zjawinski, Bartlomiej Stasiak","doi":"10.1109/HSI.2018.8431033","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431033","url":null,"abstract":"Musicians aim to express emotions through musical performances. Technically, musical expression is mainly created by variances in tempo and dynamics. The purpose of this paper is to investigate the possibility of generating dynamics and expressive tempo for plain (inexpressive) MIDI files by means of a long short-term memory (LSTM) artificial neural network. Two neural network models (for dynamics and tempo separately) were built with the use of Keras deep learning library and trained on a dataset consisting of Chopin's mazurkas. The trained models are capable of generating expressive performance of inexpressive mazurka represented in MIDI format. The generated performances are evaluated by comparing the resulting dynamics and tempo graphs to human performances and by a survey testing the ease of differentiation between human and generated performance. The conclusion of the research is that expression generated with LSTM network can be very similar to human expression and convincing for listeners.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128649255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extracting Concepts from the Software Requirements Specification Using Natural Language Processing","authors":"Jaroslaw Kuchta, Priti Padhiyar","doi":"10.1109/HSI.2018.8431221","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431221","url":null,"abstract":"Extracting concepts from the software requirements is one of the first step on the way to automating the software development process. This task is difficult due to the ambiguity of the natural language used to express the requirements specification. The methods used so far consist mainly of statistical analysis of words and matching expressions with a specific ontology of the domain in which the planned software will be applicable. This article proposes a method and a tool to extract concepts based on a grammatical analysis of requirements written in English without the need to refer to specialized ontology. These concepts can be further expressed in the class model, which then can be the basis for the object-oriented analysis of the problem. This method uses natural language processing (NLP) techniques to recognize parts of speech and to divide sentences into phrases and also the WordNet dictionary to search for known concepts and recognize relationships between them.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132700319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards an Integrated Method of Detection and Description for Face Authentication System","authors":"Laksono Kurnianggoro, K. Jo","doi":"10.1109/HSI.2018.8430774","DOIUrl":"https://doi.org/10.1109/HSI.2018.8430774","url":null,"abstract":"The work in this paper aims to construct a face authentication system based on the deep learning. It is consisted of face detection module, face description system, and retrieval method. Neural network is utilized for both of the detection and description modules as an initial attempt to unify both of the system. In this case, the single shot detection network is utilized as the face detector while the descriptor extractor network is trained by triplet embedding loss function. The proposed system was tested on a novel dataset with several identities to evaluate its robustness. Experiment shows that the result is promising and can be used in a new environment with novel faces without re-training the network.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130238410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edgar Ian Murillo, Héctor Poveda, K. Jo, Danilo Cáceres Hernández
{"title":"Evaluation of IEEE 802.11n and IEEE 802.11p Based on Vehicle to Vehicle Communications","authors":"Edgar Ian Murillo, Héctor Poveda, K. Jo, Danilo Cáceres Hernández","doi":"10.1109/HSI.2018.8431337","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431337","url":null,"abstract":"Wireless communication opens up new avenues in the field of intelligent vehicle systems, including monitoring, guidance and warning applications. In order to determine more precisely the feasibility of using the 802.11n standard in vehicular communication systems, this paper describes a process for evaluating the propagation performance of the 802.11n and 802.11p standards. To do that, the antennas are described and simulated using Win Pro Solutions which include Proman, Wallman softwares. The measurements were performed using an urban environment to prove the effectiveness of the simulation analysis","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134291272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mingshan Wang, Tejaswini Sirlapu, A. Kwaśniewska, Maciej Szankin, Marko Bartscherer, Rey Nicolas
{"title":"Speaker Recognition Using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions","authors":"Mingshan Wang, Tejaswini Sirlapu, A. Kwaśniewska, Maciej Szankin, Marko Bartscherer, Rey Nicolas","doi":"10.1109/HSI.2018.8431363","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431363","url":null,"abstract":"With the technology advancements in smart home sector, voice control and automation are key components that can make a real difference in people's lives. The voice recognition technology market continues to involve rapidly as almost all smart home devices are providing speaker recognition capability today. However, most of them provide cloud-based solutions or use very deep Neural Networks for speaker recognition task, which are not suitable models to run on smart home devices. In this paper, we compare relatively small Convolutional Neural Networks (CNN) and evaluate effectiveness of speaker recognition using these models on edge devices. In addition, we also apply transfer learning technique to deal with a problem of limited training data. By developing solution suitable for running inference locally on edge devices, we eliminate the well-known cloud computing issues, such as data privacy and network latency, etc. The preliminary results proved that the chosen model adapts the benefit of computer vision task by using CNN and spectrograms to perform speaker classification with precision and recall ~84 % in time less than 60 ms on mobile device with Atom Cherry Trail processor.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"26 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116555497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Grochala, M. Kajor, Dariusz Kucharski, M. Iwaniec, E. Kańtoch
{"title":"A Novel Approach in Auscultation Technology - New Sensors and Algorithms","authors":"D. Grochala, M. Kajor, Dariusz Kucharski, M. Iwaniec, E. Kańtoch","doi":"10.1109/HSI.2018.8431339","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431339","url":null,"abstract":"Sounds generated inside the body can provide valuable diagnostic information. The first stethoscopes were designed in the 19th century, however, nowadays we are witnessing rapid advances in auscultatory technologies. This paper describes the development and application of auscultation transducers and algorithms that allow to classify acoustic signals. Sensors are integrated with a dedicated acquisition unit developed in our research group. This device is equipped with analog conditioning circuits and an ADC module. In the final stage of this research, the recorded data was processed with the automatic classification algorithms. The obtained results are promising in terms of further development.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122470259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emerged Theoretical Constructs to Rethink HCI Design","authors":"Elena Ornig, P. Bernus, J. Faichney","doi":"10.1109/HSI.2018.8430868","DOIUrl":"https://doi.org/10.1109/HSI.2018.8430868","url":null,"abstract":"Despite incompatible theoretical perspectives on emotion in psychology, researchers in HCI continue to identify frustration as a basic negative ae ctive reaction or enotion, a single predictor of goal satisfaction and a persistent problem with use of technology. Applying the Grounded Theory approach, we argue that the reported causes of frustration were not necessarily resulting in frustrating experiences, making frustration an unreliable predictor and at best a small part of a bigger problem: an individual negative experience, which we argue is a better predictor. The Grounded Theory approach allowed us to better generalize newly emerged concepts and categories, connecting them causally, consequentially or conditionally to human use of technology. This paved the way to find a knowledge gap in HCI theory, treating basic psychological needs from an eudaimonic perspective, and which could be addressed by developing potentially universally applicable new design principles. The emerged concepts include: a) the human-complex system interaction construct; b) the distinction of reactive and proactive design approaches; c) the perspective of designing for human well-being; and d) four distinct phases of disrupted interaction. In addition, we propose specific steps for the evaluation of HCI design to help minimize negative user experience.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126751315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}