Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.最新文献_第6页

PackquID: In-packet Liquid Identification Using RF Signals PackquID:包内液体识别使用射频信号

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3569469

Fei Shang, Panlong Yang, Yubo Yan, Xiangyang Li

引用次数: 1

SpARklingPaper: Enhancing Common Pen- And Paper-Based Handwriting Training for Children by Digitally Augmenting Papers Using a Tablet Screen SpARklingPaper:通过使用平板电脑屏幕数字增强纸张，增强儿童的普通笔和纸手写训练

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3550337

T. Drey, Jessica Janek, Josef Lang, Dietmar Puschmann, Michael Rietzler, E. Rukzio

{"title":"SpARklingPaper: Enhancing Common Pen- And Paper-Based Handwriting Training for Children by Digitally Augmenting Papers Using a Tablet Screen","authors":"T. Drey, Jessica Janek, Josef Lang, Dietmar Puschmann, Michael Rietzler, E. Rukzio","doi":"10.1145/3550337","DOIUrl":"https://doi.org/10.1145/3550337","url":null,"abstract":"Educational apps support learning, but handwriting training is still based on analog pen- and paper. However, training handwriting with apps can negatively affect graphomotor handwriting skills due to the different haptic feedback of the tablet, stylus, or finger compared to pen and paper. With SpARklingPaper, we are the first to combine the genuine haptic feedback of analog pen and paper with the digital support of apps. Our artifact contribution enables children to write with any pen on a standard paper placed on a tablet’s screen, augmenting the paper from below, showing animated letters and individual feedback. We conducted two online surveys with overall 29 parents and teachers of elementary school pupils and a user study with 13 children and 13 parents for evaluation. Our results show the importance of the genuine analog haptic feedback combined with the augmentation of SpARklingPaper. It was rated superior compared to our stylus baseline condition regarding pen-handling, writing training-success, motivation, and overall impression. SpARklingPaper can be a blueprint for high-fidelity haptic feedback handwriting training systems.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":"102 1","pages":"113:1-113:29"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73864905","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

DeXAR: Deep Explainable Sensor-Based Activity Recognition in Smart-Home Environments 智能家居环境中基于深度可解释传感器的活动识别

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3517224

Luca Arrotta, Gabriele Civitarese, C. Bettini

引用次数: 10

HearFire: Indoor Fire Detection via Inaudible Acoustic Sensing HearFire:通过听不见的声音感应进行室内火灾探测

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3569500

Z. Wang

{"title":"HearFire: Indoor Fire Detection via Inaudible Acoustic Sensing","authors":"Z. Wang","doi":"10.1145/3569500","DOIUrl":"https://doi.org/10.1145/3569500","url":null,"abstract":"Indoor conflagration causes a large number of casualties and property losses worldwide every year. Yet existing indoor fire detection systems either suffer from short sensing range (e.g., ≤ 0.5m using a thermometer), susceptible to interferences (e.g., smoke detector) or high computational and deployment overhead (e.g., cameras, Wi-Fi). This paper proposes HearFire, a cost-effective, easy-to-use and timely room-scale fire detection system via acoustic sensing. HearFire consists of a collocated commodity speaker and microphone pair, which remotely senses fire by emitting inaudible sound waves. Unlike existing works that use signal reflection effect to fulfill acoustic sensing tasks, HearFire leverages sound absorption and sound speed variations to sense the fire due to unique physical properties of flame. Through a deep analysis of sound transmission, HearFire effectively achieves room-scale sensing by correlating the relationship between the transmission signal length and sensing distance. The transmission frame is carefully selected to expand sensing range and balance a series of practical factors that impact the system’s performance. We further design a simple yet effective approach to remove the environmental interference caused by signal reflection by conducting a deep investigation into channel differences between sound reflection and sound absorption. Specifically, sound reflection results in a much more stable pattern in terms of signal energy than sound absorption, which can be exploited to differentiate the channel measurements caused by fire from other interferences. Extensive experiments demonstrate that HireFire enables a maximum 7m sensing range and achieves timely fire detection in indoor environments with up to 99 . 2% accuracy under different experiment configurations.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":"28 1","pages":"185:1-185:25"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78973624","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

LiSee: A Headphone that Provides All-day Assistance for Blind and Low-vision Users to Reach Surrounding Objects LiSee:一款全天帮助盲人和低视力用户接触周围物体的耳机

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3550282

Kaixin Chen, Yongzhi Huang, Yicong Chen, Haobin Zhong, Lihua Lin, Lu Wang, Kaishun Wu

引用次数: 2

WristAcoustic: Through-Wrist Acoustic Response Based Authentication for Smartwatches 腕带声学:智能手表的基于腕带声学响应的认证

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3569473

J. Huh, Hyejin Shin, Hongmin Kim, Eunyong Cheon, Young-sok Song, Choong-Hoon Lee, Ian Oakley

引用次数: 0

SSpoon: A Shape-changing Spoon That Optimizes Bite Size for Eating Rate Regulation SSpoon:一种可改变形状的勺子，可以优化咀嚼大小，调节进食速度

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3550312

Yang Chen, Katherine Fennedy, A. Fogel, Shengdong Zhao, Chaoyang Zhang, Lijuan Liu, C. Yen

{"title":"SSpoon: A Shape-changing Spoon That Optimizes Bite Size for Eating Rate Regulation","authors":"Yang Chen, Katherine Fennedy, A. Fogel, Shengdong Zhao, Chaoyang Zhang, Lijuan Liu, C. Yen","doi":"10.1145/3550312","DOIUrl":"https://doi.org/10.1145/3550312","url":null,"abstract":"One key strategy of combating obesity is to slow down eating; however, this is difficult to achieve due to people’s habitual nature. In this paper, we explored the feasibility of incorporating shape-changing interface into an eating spoon to directly intervene in undesirable eating behaviour. First, we investigated the optimal dimension (i.e., Z-depth) and ideal range of spoon transformation for different food forms that could affect bite size while maintaining usability. Those findings allowed the development of SSpoon prototype through a series of design explorations that are optimised for user’s adoption. Then, we applied two shape-changing strategies: instant transformations based on food forms and subtle transformations based on food intake) and examined in two comparative studies involving a full course meal using Wizard-of-Oz approach. The results indicated that SSpoon could achieve comparable effects to a small spoon (5ml) in reducing eating rate by 13.7-16.1% and food consumption by 4.4-4.6%, while retaining similar user satisfaction as a normal eating spoon (10ml). These results demonstrate the feasibility of a shape-changing eating utensil as a promising alternative to combat the growing concern of obesity. . These provide initial to RQ4 , suggesting that SSpoon may not influence the perceived despite the overall of in a standardized","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":"434 1","pages":"105:1-105:32"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79599477","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

StretchAR: Exploiting Touch and Stretch as a Method of Interaction for Smart Glasses Using Wearable Straps StretchAR:利用触摸和拉伸作为使用可穿戴带的智能眼镜的交互方法

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3550305

Luis Paredes, Ananya Ipsita, J. C. Mesa, Ramses V. Martinez Garrido, K. Ramani

{"title":"StretchAR: Exploiting Touch and Stretch as a Method of Interaction for Smart Glasses Using Wearable Straps","authors":"Luis Paredes, Ananya Ipsita, J. C. Mesa, Ramses V. Martinez Garrido, K. Ramani","doi":"10.1145/3550305","DOIUrl":"https://doi.org/10.1145/3550305","url":null,"abstract":"presents StretchAR, wearable straps that exploit touch and stretch as input modalities to interact with the virtual content displayed on smart glasses. StretchAR straps are thin, lightweight, and can be attached to existing garments to enhance users’ interactions in AR. StretchAR straps can withstand strains up to 190% while remaining sensitive to touch inputs. The strap allows the effective combination of these inputs as a mode of interaction with the content displayed through AR widgets, maps, menus, social media, and Internet of Things (IoT) devices. Furthermore, we conducted a user study with 15 participants to determine the potential implications of the use of StretchAR as input modalities when placed on four different body locations (head, chest, forearm, and wrist). This study reveals that StretchAR can be used as an efficient and convenient input modality for smart glasses with a 96% accuracy. Additionally, we provide a collection of 28 interactions enabled by the simultaneous touch–stretch capabilities of StretchAR. Finally, we facilitate recommendation guidelines for the design, fabrication, placement, and possible applications of StretchAR as an interaction modality for AR content displayed on smart glasses. Exploiting as","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":"9 1","pages":"134:1-134:26"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76663092","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: 3

WearSign: Pushing the Limit of Sign Language Translation Using Inertial and EMG Wearables WearSign:利用惯性和肌电可穿戴设备推动手语翻译的极限

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3517257

Qian Zhang, JiaZhen Jing, Dong Wang, Run Zhao

{"title":"WearSign: Pushing the Limit of Sign Language Translation Using Inertial and EMG Wearables","authors":"Qian Zhang, JiaZhen Jing, Dong Wang, Run Zhao","doi":"10.1145/3517257","DOIUrl":"https://doi.org/10.1145/3517257","url":null,"abstract":"Sign language translation (SLT) is considered as the core technology to break the communication barrier between the deaf and hearing people. However, most studies only focus on recognizing the sequence of sign gestures (sign language recognition (SLR)), ignoring the significant difference of linguistic structures between sign language and spoken language. In this paper, we approach SLT as a spatio-temporal machine translation task and propose a wearable-based system, WearSign, to enable direct translation from the sign-induced sensory signals into spoken texts. WearSign leverages a smartwatch and an armband of ElectroMyoGraphy (EMG) sensors to capture the sophisticated sign gestures. In the design of the translation network, considering the significant modality and linguistic gap between sensory signals and spoken language, we design a multi-task encoder-decoder framework which uses sign glosses (sign gesture labels) for intermediate supervision to guide the end-to-end training. In addition, due to the lack of sufficient training data, the performance of prior studies usually degrades drastically when it comes to sentences with complex structures or unseen in the training set. To tackle this, we borrow the idea of back-translation and leverage the much more available spoken language data to synthesize the paired sign language data. We include the synthetic pairs into the training process, which enables the network to learn better sequence-to-sequence mapping as well as generate more fluent spoken language sentences. We construct an American sign language (ASL) dataset consisting of 250 commonly used sentences gathered from 15 volunteers. WearSign achieves 4.7% and 8.6% word error rate (WER) in user-independent tests and unseen sentence tests respectively. We also implement a real-time version of WearSign which runs fully on the smartphone with a low latency and energy overhead. CCS Concepts:","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":"22 1","pages":"35:1-35:27"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78004612","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

Shoes++: A Smart Detachable Sole for Social Foot-to-foot Interaction 鞋++:一种智能的可拆卸鞋底，用于社交脚对脚的互动

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI: 10.1145/3534620

Zihan Yan, Jiayi Zhou, Wu Yufei, Guanhong Liu, Danli Luo, Zi Zhou, Mi Haipeng, Lingyun Sun, Xiang 'Anthony' Chen, Yang Zhang, Guanyun Wang

{"title":"Shoes++: A Smart Detachable Sole for Social Foot-to-foot Interaction","authors":"Zihan Yan, Jiayi Zhou, Wu Yufei, Guanhong Liu, Danli Luo, Zi Zhou, Mi Haipeng, Lingyun Sun, Xiang 'Anthony' Chen, Yang Zhang, Guanyun Wang","doi":"10.1145/3534620","DOIUrl":"https://doi.org/10.1145/3534620","url":null,"abstract":"Feet are the foundation of our bodies that not only perform locomotion but also participate in intent and emotion expression. Thus, foot gestures are an intuitive and natural form of expression for interpersonal interaction. Recent studies have mostly introduced smart shoes as personal gadgets, while foot gestures used in multi-person foot interactions in social scenarios remain largely unexplored. We present Shoes++, which includes an inertial measurement unit (IMU)-mounted sole and an input vocabulary of social foot-to-foot gestures to support foot-based interaction. The gesture vocabulary is derived and condensed by a set of gestures elicited from a participatory design session with 12 users. We implement a machine learning model in Shoes++ which can recognize two-person and three-person social foot-to-foot gestures with 94.3% and 96.6% accuracies (N=18). In addition, the sole is designed to easily attach to and detach from various daily shoes to support comfortable social foot interaction without taking off the shoes. Based on users’ qualitative feedback, we also found that Shoes++ can support team collaboration and enhance emotion expression, thus making social interactions or interpersonal dynamics more engaging in an expanded design space. Additional Key and smart sole Shoes++: A Smart Detachable Sole for Social Foot-to-foot Interaction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, (June 2022),","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":"8 1","pages":"85:1-85:29"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74092177","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: 5