The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments最新文献

Towards Accounting for Nonhuman Agency in Technology Design for Aging. 老龄化技术设计中非人类主体的核算

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2025-01-01 Epub Date: 2025-07-17 DOI: 10.1145/3733155.3733205

Alisha Pradhan, Shaan Chopra, Pooja Upadhyay, Robin Brewer, Amanda Lazar

{"title":"Towards Accounting for Nonhuman Agency in Technology Design for Aging.","authors":"Alisha Pradhan, Shaan Chopra, Pooja Upadhyay, Robin Brewer, Amanda Lazar","doi":"10.1145/3733155.3733205","DOIUrl":"10.1145/3733155.3733205","url":null,"abstract":"Till date, research on technology design to support aging has largely adopted human-centered approaches, such as user-centered and participatory design. While this body of work continues to yield insights on technologies for older individuals, recent research is beginning to question whether other ways of knowing, that are not solely \"humanistic\", can yield new understandings on technologies for aging. We pick up this call, and present emerging findings from our interviews with older adults around their use of home-based intelligent voice assistants. Building upon these findings, we discuss how attuning to the nonhuman agency and the larger material world can offer new insights on technology design for aging, such as, speak to issues of technology non-use by older adults. We discuss implications of assigning responsibility and accountability beyond older adults to nonhuman actors and how it can speak to the deficit-centered narrative that often gets associated with aging.","PeriodicalId":91811,"journal":{"name":"The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments","volume":"2025 ","pages":"273-276"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13007264/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147517552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022 - 1 July 2022 PETRA '22:第15届与辅助环境相关的普及技术国际会议，科孚岛，希腊，2022年6月29日至2022年7月1日

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2022-01-01 DOI: 10.1145/3529190

引用次数: 1

Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach. 将运动皮层刺激映射到肌肉反应：深度神经网络建模方法。

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2020-06-01 DOI: 10.1145/3389189.3389203

Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana Brooks, Eugene Tunik, Deniz Erdoğmuş

{"title":"Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach.","authors":"Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana Brooks, Eugene Tunik, Deniz Erdoğmuş","doi":"10.1145/3389189.3389203","DOIUrl":"10.1145/3389189.3389203","url":null,"abstract":"A deep neural network (DNN) that can reliably model muscle responses from corresponding brain stimulation has the potential to increase knowledge of coordinated motor control for numerous basic science and applied use cases. Such cases include the understanding of abnormal movement patterns due to neurological injury from stroke, and stimulation based interventions for neurological recovery such as paired associative stimulation. In this work, potential DNN models are explored and the one with the minimum squared errors is recommended for the optimal performance of the M2M-Net, a network that maps transcranial magnetic stimulation of the motor cortex to corresponding muscle responses, using: a finite element simulation, an empirical neural response profile, a convolutional autoencoder, a separate deep network mapper, and recordings of multi-muscle activation. We discuss the rationale behind the different modeling approaches and architectures, and contrast their results. Additionally, to obtain a comparative insight of the trade-o between complexity and performance analysis, we explore different techniques, including the extension of two classical information criteria for M2M-Net. Finally, we find that the model analogous to mapping the motor cortex stimulation to a combination of direct and synergistic connection to the muscles performs the best, when the neural response profile is used at the input.","PeriodicalId":91811,"journal":{"name":"The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments","volume":"2020 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430758/pdf/nihms-1613865.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38292255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Motor Cortex Mapping using Active Gaussian Processes. 利用主动高斯过程绘制运动皮层图。

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2020-06-01 DOI: 10.1145/3389189.3389202

Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana Brooks, Deniz Erdoğmuş

{"title":"Motor Cortex Mapping using Active Gaussian Processes.","authors":"Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana Brooks, Deniz Erdoğmuş","doi":"10.1145/3389189.3389202","DOIUrl":"10.1145/3389189.3389202","url":null,"abstract":"One important application of transcranial magnetic stimulation (TMS) is to map cortical motor topography by spatially sampling the motor cortex, and recording motor evoked potentials (MEP) with surface electromyography. Standard approaches to TMS mapping involve repetitive stimulations at different loci spaced on a (typically 1 cm) grid on the scalp. These mappings strategies are time consuming and responsive sites are typically sparse. Furthermore, the long time scale prevents measurement of transient cortical changes, and is poorly tolerated in clinical populations. An alternative approach involves using the TMS mapper expertise to exploit the map's sparsity through the use of feedback of MEPs to decide which loci to stimulate. In this investigation, we propose a novel active learning method to automatically infer optimal future stimulus loci in place of user expertise. Specifically, we propose an active Gaussian Process (GP) strategy with loci selection criteria such as entropy and mutual information (MI). The proposed method twists the usual entropy- and MI-based selection criteria by modeling the estimated MEP field, i.e., the GP mean, as a Gaussian random variable itself. By doing so, we include MEP amplitudes in the loci selection criteria which would be otherwise completely independent of the MEP values. Experimental results using real data shows that the proposed strategy can greatly outperform competing methods when the MEP variations are mostly conned in a sub-region of the space.","PeriodicalId":91811,"journal":{"name":"The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments","volume":"2020 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433704/pdf/nihms-1613866.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38295531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30 - July 3, 2020 第十三届与辅助环境相关的普及技术会议，科孚岛，希腊，2020年6月30日至7月3日

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2020-01-01 DOI: 10.1145/3389189

引用次数: 0

Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics. 基于肌肉协同的机械手假肢抓取分类。

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-01 DOI: 10.1145/3056540.3076208

Sezen Yağmur Günay, Fernando Quivira, Deniz Erdoğmuş

引用次数: 0

Understanding Older Adult's Perceptions of Factors that Support Trust in Human and Robot Care Providers. 了解老年人对支持对人类和机器人护理提供者信任的因素的看法。

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-01 DOI: 10.1145/3056540.3076186

Rachel E Stuck, Wendy A Rogers

引用次数: 0

A smart wheelchair based on ubiquitous computing 基于普适计算的智能轮椅

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2013-05-29 DOI: 10.1145/2504335.2504336

João Tavares, J. Barbosa, C. Costa, A. Yamin, R. Real

引用次数: 7

Genre classification of symbolic music with SMBGT 用SMBGT进行符号音乐的类型分类

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2013-05-29 DOI: 10.1145/2504335.2504382

Alexios Kotsifakos, Evangelos E. Kotsifakos, P. Papapetrou, V. Athitsos

{"title":"Genre classification of symbolic music with SMBGT","authors":"Alexios Kotsifakos, Evangelos E. Kotsifakos, P. Papapetrou, V. Athitsos","doi":"10.1145/2504335.2504382","DOIUrl":"https://doi.org/10.1145/2504335.2504382","url":null,"abstract":"Automatic music genre classification is a task that has attracted the interest of the music community for more than two decades. Music can be of high importance within the area of assistive technologies as it can be seen as an assistive technology with high therapeutic and educational functionality for children and adults with disabilities. Several similarity methods and machine learning techniques have been applied in the literature to deal with music genre classification, and as a result data mining and Music Information Retrieval (MIR) are strongly interconnected. In this paper, we deal with music genre classification for symbolic music, and specifically MIDI, by combining the recently proposed novel similarity measure for sequences, SMBGT, with the k-Nearest Neighbor (k-NN) classifier. For all MIDI songs we first extract all of their channels and then transform each channel into a sequence of 2D points, providing information for pitch and duration of their music notes. The similarity between two songs is found by computing the SMBGT for all pairs of the songs' channels and getting the maximum pairwise channel score as their similarity. Each song is treated as a query to which k-NN is applied, and the returned genre of the classifier is the one with the majority of votes in the k neighbors. Classification accuracy results indicate that there is room for improvement, especially due to the ambiguous definitions of music genres that make it hard to clearly discriminate them. Using this framework can also help us analyze and understand potential disadvantages of SMBGT, and thus identify how it can be improved when used for classification of real-time sequences.","PeriodicalId":91811,"journal":{"name":"The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments","volume":"364 1","pages":"44:1-44:7"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88383326","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: 16

Preliminary investigation of the impact of visual feedback on a camera-based mouse-replacement system 视觉反馈对基于摄像头的鼠标替换系统影响的初步研究

The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2013-05-29 DOI: 10.1145/2504335.2504359

Wenxin Feng, Ming Chen, Margrit Betke

引用次数: 1