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Proceedings of the 2021 ACM International Symposium on Wearable Computers最新文献

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disp2ppg: Pulse Wave Generation to PPG Sensor using Display dis2ppg:脉冲波产生到使用显示器的PPG传感器
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2021-09-21 DOI: 10.1145/3460421.3478823
Atsuhiro Fujii, Kazuya Murao, N. Matsuhisa
{"title":"disp2ppg: Pulse Wave Generation to PPG Sensor using Display","authors":"Atsuhiro Fujii, Kazuya Murao, N. Matsuhisa","doi":"10.1145/3460421.3478823","DOIUrl":"https://doi.org/10.1145/3460421.3478823","url":null,"abstract":"Wearable devices are often used to record the user’s biometric information. Among biometric data, pulse data has been used in methods such as heart rate monitoring and emotion estimation. The most common type of pulse sensor is the photoplethysmogram (PPG), which irradiates a green LED on the skin and measures pulse data from changes in the light reflected through the blood vessels. PPG sensors have been implemented in commercially available wearable devices such as smartwatches. When a smartwatch is worn on an artificial body such as a prosthetic hand or a robotic arm, correct data cannot be acquired because there is no blood flow. In this study, we propose a method that enables the PPG sensor to measure arbitrary pulse data using a display. If this method is successful, it will be possible to input pulse data measured at the junction of the live body and the prosthetic hand to the display, and have the smartwatch attached to the prosthetic hand read the same pulse data. In this paper, we focus on the heart rate and report the results of an experiment in which a target heart rate was input and the display was controlled to determine whether the target heart rate could be obtained by a smartwatch. We implemented a display drawing program and conducted the evaluation using five kinds of smartwatches and four kinds of displays. Results showed that the error between the target heart rate and the heart rate acquired by the smartwatch was within ± 3 beats per minute in many cases.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123957138","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: 4
BLInG: Beads-Laden Interactive Garment 珠光宝气:镶满珠子的互动服装
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2021-09-21 DOI: 10.1145/3460421.3478827
J. Jo, D. Kong, Huiju Park
{"title":"BLInG: Beads-Laden Interactive Garment","authors":"J. Jo, D. Kong, Huiju Park","doi":"10.1145/3460421.3478827","DOIUrl":"https://doi.org/10.1145/3460421.3478827","url":null,"abstract":"This design work introduces on-body beaded electronics for enhanced aesthetics in wearable technology by reflecting fashion trends. The seamless integration of visually unappealing wires and electronic components into the body surface has always been an issue in the development of on-body interfaces. In this paper, we develop methods for incorporating digital electronics into fashion design and show aesthetic and functional on-body interfaces based on traditional beading techniques. Conductive threads/elastomers, copper wires, and a shape memory alloy work as supporting components to create beaded net fashion items. Also, we explore boundaries of the integration of small electronic components such as an LED, a metal bead, and an NFC chip, as one of the beads in the system. Finally, we discuss diverse challenges and opportunities of multimodal interactions in beaded electronics in the context of wearable computing.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127950026","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: 2
Delocalizing Strain in Interconnected Joints of On-Skin Interfaces 接触面连接关节的局部应变
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2021-09-21 DOI: 10.1145/3460421.3478812
Kunpeng Huang, Md. Tahmidul Islam Molla, Kat Roberts, Pin-Sung Ku, Aditi Galada, H. Kao
{"title":"Delocalizing Strain in Interconnected Joints of On-Skin Interfaces","authors":"Kunpeng Huang, Md. Tahmidul Islam Molla, Kat Roberts, Pin-Sung Ku, Aditi Galada, H. Kao","doi":"10.1145/3460421.3478812","DOIUrl":"https://doi.org/10.1145/3460421.3478812","url":null,"abstract":"Durable and reliable fabrication of on-skin systems remains an open research question to enable developing on-skin interfaces at scale. One of the main challenges is the complexity in achieving robust devices to connect hard goods (printed circuit boards and electronics) with extremely soft materials (slim on-skin interface traces). This paper presents a systematic study evaluating the durability of 5 interconnection designs (including PCB shape, solder pad positions, and rigid versus flexible PCB) for on-skin systems under stretching and bending tests. The study results show the significant robustness of interconnects on flexible PCBs over rigid PCBs under bending and the better performance of elongated shaped flexible PCBs over shorter flexible PCBs. Further, we demonstrate that an interposer design consisting of 2 layers of flexible PCBs combines the benefits of both the rigid and flexible boards. Based on our experimental results, we present a set of design guidelines for PCB interconnect design for resilient on-skin systems.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642255","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: 8
Solar Scarf: Expanding DIY educational content with an expressive wearable system 太阳能围巾:以富有表现力的可穿戴系统拓展DIY教育内容
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2021-09-21 DOI: 10.1145/3460421.3478830
K. McDermott, Bong-Soo Byun, Ashima Tiwari, Amy Hu
{"title":"Solar Scarf: Expanding DIY educational content with an expressive wearable system","authors":"K. McDermott, Bong-Soo Byun, Ashima Tiwari, Amy Hu","doi":"10.1145/3460421.3478830","DOIUrl":"https://doi.org/10.1145/3460421.3478830","url":null,"abstract":"This project uses a design case study as a vehicle for facilitating solar prototyping practices in artistic and design applications of wearables, particularly within the DIY community. Existing solar educational content primarily focuses on engineering learning outcomes, with limited consideration of the aesthetic relationship between the solar panel and the fabric, or the design possibilities of using multiple panels. This trend differs from work within fashion and design research which considers the aesthetic and usability concerns of integrating solar into wearables. This project seeks to bridge the gap between solar educational content and design research by documenting multiple methods for mounting solar panels to fabric, applied in ways that afford different aesthetic outcomes. The tests culminate in an example project in the form of a scarf with embedded solar panels that power LED messages, a playful system intended to help ease communication difficulties that can arise when wearing face-coverings and masks.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126180905","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
A Transformer Architecture for Stress Detection from ECG 一种用于心电应力检测的变压器结构
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2021-08-22 DOI: 10.1145/3460421.3480427
Behnam Behinaein, Anubha Bhatti, D. Rodenburg, P. Hungler, A. Etemad
{"title":"A Transformer Architecture for Stress Detection from ECG","authors":"Behnam Behinaein, Anubha Bhatti, D. Rodenburg, P. Hungler, A. Etemad","doi":"10.1145/3460421.3480427","DOIUrl":"https://doi.org/10.1145/3460421.3480427","url":null,"abstract":"Electrocardiogram (ECG) has been widely used for emotion recognition. This paper presents a deep neural network based on convolutional layers and a transformer mechanism to detect stress using ECG signals. We perform leave-one-subject-out experiments on two publicly available datasets, WESAD and SWELL-KW, to evaluate our method. Our experiments show that the proposed model achieves strong results, comparable or better than the state-of-the-art models for ECG-based stress detection on these two datasets. Moreover, our method is end-to-end, does not require handcrafted features, and can learn robust representations with only a few convolutional blocks and the transformer component.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122464600","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: 28
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models 基于可穿戴传感和混合效应模型的自动化疲劳评估
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2021-08-09 DOI: 10.1145/3460421.3480429
Yang Bai, Yu Guan, J. Shi, W. Ng
{"title":"Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models","authors":"Yang Bai, Yu Guan, J. Shi, W. Ng","doi":"10.1145/3460421.3480429","DOIUrl":"https://doi.org/10.1145/3460421.3480429","url":null,"abstract":"Fatigue is a broad, multifactorial concept that includes the subjective perception of reduced physical and mental energy levels. It is also one of the key factors that strongly affect patients’ health-related quality of life. To date, most fatigue assessment methods were based on self-reporting, which may suffer from many factors such as recall bias. To address this issue, in this work, we recorded multi-modal physiological data (including ECG, accelerometer, skin temperature and respiratory rate, as well as demographic information such as age, BMI) in free-living environments, and developed automated fatigue assessment models. Specifically, we extracted features from each modality, and employed the random forest-based mixed-effects models, which can take advantage of the demographic information for improved performance. We conducted experiments on our collected dataset, and very promising preliminary results were achieved. Our results suggested ECG played an important role in the fatigue assessment tasks.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132611967","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
Improving Deep Learning for HAR with Shallow LSTMs 利用浅lstm改进HAR的深度学习
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2021-08-02 DOI: 10.1145/3460421.3480419
Marius Bock, Alexander Hoelzemann, Michael Moeller, Kristof Van Laerhoven
{"title":"Improving Deep Learning for HAR with Shallow LSTMs","authors":"Marius Bock, Alexander Hoelzemann, Michael Moeller, Kristof Van Laerhoven","doi":"10.1145/3460421.3480419","DOIUrl":"https://doi.org/10.1145/3460421.3480419","url":null,"abstract":"Recent studies in Human Activity Recognition (HAR) have shown that Deep Learning methods are able to outperform classical Machine Learning algorithms. One popular Deep Learning architecture in HAR is the DeepConvLSTM. In this paper we propose to alter the DeepConvLSTM architecture to employ a 1-layered instead of a 2-layered LSTM. We validate our architecture change on 5 publicly available HAR datasets by comparing the predictive performance with and without the change employing varying hidden units within the LSTM layer(s). Results show that across all datasets, our architecture consistently improves on the original one: Recognition performance increases up to 11.7% for the F1-score, and our architecture significantly decreases the amount of learnable parameters. This improvement over DeepConvLSTM decreases training time by as much as 48%. Our results stand in contrast to the belief that one needs at least a 2-layered LSTM when dealing with sequential data. Based on our results we argue that said claim might not be applicable to sensor-based HAR.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130405285","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: 32
Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion 学习预测跨维运动的自监督人类活动识别
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 2020-10-21 DOI: 10.1145/3460421.3480417
Setareh Rahimi Taghanaki, M. Rainbow, A. Etemad
{"title":"Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion","authors":"Setareh Rahimi Taghanaki, M. Rainbow, A. Etemad","doi":"10.1145/3460421.3480417","DOIUrl":"https://doi.org/10.1145/3460421.3480417","url":null,"abstract":"We propose the use of self-supervised learning for human activity recognition with smartphone accelerometer data. Our proposed solution consists of two steps. First, the representations of unlabeled input signals are learned by training a deep convolutional neural network to predict a segment of accelerometer values. Our model exploits a novel scheme to leverage past and present motion in x and y dimensions, as well as past values of the z axis to predict values in the z dimension. This cross-dimensional prediction approach results in effective pretext training with which our model learns to extract strong representations. Next, we freeze the convolution blocks and transfer the weights to our downstream network aimed at human activity recognition. For this task, we add a number of fully connected layers to the end of the frozen network and train the added layers with labeled accelerometer signals to learn to classify human activities. We evaluate the performance of our method on three publicly available human activity datasets: UCI HAR, MotionSense, and HAPT. The results show that our approach outperforms the existing methods and sets new state-of-the-art results.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133566030","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: 7
Proceedings of the 2021 ACM International Symposium on Wearable Computers 2021年ACM可穿戴计算机国际研讨会论文集
Proceedings of the 2021 ACM International Symposium on Wearable Computers Pub Date : 1900-01-01 DOI: 10.1145/3460421
{"title":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","authors":"","doi":"10.1145/3460421","DOIUrl":"https://doi.org/10.1145/3460421","url":null,"abstract":"","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134348462","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: 1
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