Proceedings of the 5th International Conference on Movement and Computing最新文献_第3页

Registers as inventions: body, dance, memory and digital medias 登记为发明:身体，舞蹈，记忆和数字媒体

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212876

Thembi Rosa, Carlos Falci

引用次数: 2

How Do Dancers Learn To Dance?: A first-person perspective of dance acquisition by expert contemporary dancers 舞者是如何学会跳舞的?当代舞蹈专家舞蹈习得的第一人称视角

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212723

Jean-Philippe Rivière, S. Alaoui, Baptiste Caramiaux, W. Mackay

引用次数: 13

Exploiting multimodal integration in adaptive interactive systems and game-based learning interfaces 在自适应交互系统和基于游戏的学习界面中开发多模态集成

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212849

Erica Volta, G. Volpe

引用次数: 3

SloMo study #2

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212890

F. Visi

{"title":"SloMo study #2","authors":"F. Visi","doi":"10.1145/3212721.3212890","DOIUrl":"https://doi.org/10.1145/3212721.3212890","url":null,"abstract":"This piece was composed to explore the use of slow and microscopic body movements in electronic music performance, and the role of rhythmic visual cues and breathing in the perception of movement and time. To do so, it employs wearable sensors (EMG and IMUs), variable-frequency stroboscopic lights, an electronic stethoscope, and a body-worn camera for face tracking. The performer’s left hand very slowly draws an arc that begins with the left arm across the chest and ends when the arm is fully stretched outwards. The whole movement is performed in about 10 minutes and marks the beginning and end of the piece. Every small movement across this arc shifts the selection of a small portion of audio from a buffer used for granular synthesis. The recording loaded in the buffer consists of 8 bars of the piece Kineslimina [1] written by the author and performed by Esther Coorevits. Through these slow movements, that instrumental passage is reinterpreted on a much longer timescale, making it possible to linger on the attack transients of each drum hit and, at the same time, experience it as a single, slowly unfolding event. This continuously evolving rhythm has its counterpoint in the breathing sounds of the performer, which are amplified through an electronic stethoscope placed on their neck. These sounds are processed by an array of resonators that are controlled through the mouth positions of the performer, tracked by the body-worn camera. Breathing acts as the performer’s inner timekeeper, while modulating breathing sounds through mouth positions","PeriodicalId":330867,"journal":{"name":"Proceedings of the 5th International Conference on Movement and Computing","volume":"17 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131504932","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}

引用次数: 0

Modosc

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212842

Luke Dahl, F. Visi

引用次数: 2

Smartphone-Assessed Movement Predicts Music Properties: Towards Integrating Embodied Music Cognition into Music Recommender Services via Accelerometer Motion Data 智能手机评估的运动预测音乐属性:通过加速计运动数据将具体化的音乐认知整合到音乐推荐服务中

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212852

M. Irrgang, J. Steffens, Hauke Egermann

{"title":"Smartphone-Assessed Movement Predicts Music Properties: Towards Integrating Embodied Music Cognition into Music Recommender Services via Accelerometer Motion Data","authors":"M. Irrgang, J. Steffens, Hauke Egermann","doi":"10.1145/3212721.3212852","DOIUrl":"https://doi.org/10.1145/3212721.3212852","url":null,"abstract":"Numerous studies have shown a close relationship between movement and music [7], [17], [11], [14], [16], [3], [8]. That is why Leman calls for new mediation technologies to query music in a corporeal way [9]. Thus, the goal of the presented study was to explore how movement captured by smartphone accelerometer data can be related to musical properties. Participants (N = 23, mean age = 34.6 yrs, SD = 13.7 yrs, 13 females, 10 males) moved a smartphone to 15 musical stimuli of 20s length presented in random order. Motion features related to tempo, smoothness, size, regularity, and direction were extracted from accelerometer data to predict the musical qualities \"rhythmicity\", \"pitch level + range\" and \"complexity\" assessed by three music experts. Motion features selected by a 20-fold lasso predicted the musical properties to the following degrees \"rhythmicity\" (R2: .47), pitch level and range (R2: .03) and complexity (R2: .10). As a consequence, we conclude that music properties can be predicted from the movement it evoked, and that an embodied approach to Music Information Retrieval is feasible.","PeriodicalId":330867,"journal":{"name":"Proceedings of the 5th International Conference on Movement and Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125516855","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}

引用次数: 0

MAVi

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212838

Ewelina Bakala, Yaying Zhang, Philippe Pasquier

引用次数: 2

Creating Virtual Characters 创建虚拟角色

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212835

M. Gillies

引用次数: 3

Kinetic Analysis of Hip Motion During Piano Playing 钢琴演奏中髋部运动的动力学分析

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212878

Catherine Massie-Laberge, M. Wanderley, I. Cossette

引用次数: 1

Playground Social Interaction Analysis using Bespoke Wearable Sensors for Tracking and Motion Capture 使用定制可穿戴传感器进行跟踪和动作捕捉的操场社会互动分析

Proceedings of the 5th International Conference on Movement and Computing Pub Date : 2018-06-28 DOI: 10.1145/3212721.3212818

B. Heravi, J. Gibson, S. Hailes, D. Skuse

{"title":"Playground Social Interaction Analysis using Bespoke Wearable Sensors for Tracking and Motion Capture","authors":"B. Heravi, J. Gibson, S. Hailes, D. Skuse","doi":"10.1145/3212721.3212818","DOIUrl":"https://doi.org/10.1145/3212721.3212818","url":null,"abstract":"Unstructured play1 is considered important for the social, physical and cognitive development of children. Traditional observational research examining play behaviour at playtime (recess) has been hampered by challenges in obtaining reliable data and in processing sufficient quantities of that data to permit credible inferences to be drawn. The emergence of wearable wireless sensor technology makes it possible to study individual differences in childhood social behaviour based on collective movement patterns during playtime. In this work, we introduce a new method to enable simultaneous collection of GNSS/IMU data from a group of children interacting on a playground. We present a detailed description of system development and implementation before going on to explore methods of characterising social groups based on collective movement recording and analysis. A case study was carried out for a class of 7-8 year old children in their school playground during 10 episodes of unstructured play. A further 10 play episodes were monitored in the same space following the introduction of large, loose play materials. This study design allowed us to observe the effect of an environmental intervention on social movement patterns. Sociometric analysis was conducted for comparison and validation. This successful case study demonstrates that sensor based movement data can be used to explore children's social behaviour during naturalistic play.","PeriodicalId":330867,"journal":{"name":"Proceedings of the 5th International Conference on Movement and Computing","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121761384","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}

引用次数: 13