Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.最新文献_第2页

CrossGAI: A Cross-Device Generative AI Framework for Collaborative Fashion Design CrossGAI：用于协作式时装设计的跨设备生成式人工智能框架

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2024-03-06 DOI: 10.1145/3643542

Hanhui Deng, Jianan Jiang, Zhi-Yang Yu, Jinhui Ouyang, Di Wu

{"title":"CrossGAI: A Cross-Device Generative AI Framework for Collaborative Fashion Design","authors":"Hanhui Deng, Jianan Jiang, Zhi-Yang Yu, Jinhui Ouyang, Di Wu","doi":"10.1145/3643542","DOIUrl":"https://doi.org/10.1145/3643542","url":null,"abstract":"Fashion design usually requires multiple designers to discuss and collaborate to complete a set of fashion designs, and the efficiency of the sketching process is another challenge for personalized design. In this paper, we introduce a fashion design system, CrossGAI, that can support multiple designers to collaborate on different devices and provide AI-enhanced sketching assistance. Based on the design requirements analysis acquired from the formative study of designers, we develop the system framework of CrossGAI implemented by the user-side web-based cross-device design platform working along with the server-side AI-integrated backend system. The CrossGAI system can be agilely deployed in LAN networks which protects the privacy and security of user data. To further improve both the efficiency and the quality of the sketch process, we devised and exploited generative AI modules, including a sketch retrieval module to retrieve sketches according to stroke or sketch drawn, a sketch generation module enabling the generation of fashion sketches consistent with the designer's unique aesthetic, and an image synthesis module that could achieve sketch-to-image synthesis in accordance with the reference image's style. To optimise the computation offloading when multiple user processes are handled in LAN networks, Lyapunov algorithm with DNN actor is utilized to dynamically optimize the network bandwidth of different clients based on their access history to the application and reduce network latency. The performance of our modules is verified through a series of evaluations under LAN environment, which prove that our CrossGAI system owns competitive ability in AIGC-aided designing. Furthermore, the qualitative analysis on user experience and work quality demonstrates the efficiency and effectiveness of CrossGAI system in design work.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140262757","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

ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches ViObject：利用商品智能手表的被动振动进行日常物体识别

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2024-03-06 DOI: 10.1145/3643547

Wenqiang Chen, Shupei Lin, Zhencan Peng, Farshid Salemi Parizi, Seongkook Heo, Shwetak Patel, Wojciech Matusik, Wei Zhao, Jack Stankovic

{"title":"ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches","authors":"Wenqiang Chen, Shupei Lin, Zhencan Peng, Farshid Salemi Parizi, Seongkook Heo, Shwetak Patel, Wojciech Matusik, Wei Zhao, Jack Stankovic","doi":"10.1145/3643547","DOIUrl":"https://doi.org/10.1145/3643547","url":null,"abstract":"Knowing the object grabbed by a hand can offer essential contextual information for interaction between the human and the physical world. This paper presents a novel system, ViObject, for passive object recognition that uses accelerometer and gyroscope sensor data from commodity smartwatches to identify untagged everyday objects. The system relies on the vibrations caused by grabbing objects and does not require additional hardware or human effort. ViObject's ability to recognize objects passively can have important implications for a wide range of applications, from smart home automation to healthcare and assistive technologies. In this paper, we present the design and implementation of ViObject, to address challenges such as motion interference, different object-touching positions, different grasp speeds/pressure, and model customization to new users and new objects. We evaluate the system's performance using a dataset of 20 objects from 20 participants and show that ViObject achieves an average accuracy of 86.4%. We also customize models for new users and new objects, achieving an average accuracy of 90.1%. Overall, ViObject demonstrates a novel technology concept of passive object recognition using commodity smartwatches and opens up new avenues for research and innovation in this area.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140261661","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

Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices 使用可穿戴设备收集的皮电活动数据的侧化效应

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2024-03-06 DOI: 10.1145/3643541

Leonardo Alchieri, Nouran Abdalazim, Lidia Alecci, Shkurta Gashi, M. Gjoreski, Silvia Santini

{"title":"Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices","authors":"Leonardo Alchieri, Nouran Abdalazim, Lidia Alecci, Shkurta Gashi, M. Gjoreski, Silvia Santini","doi":"10.1145/3643541","DOIUrl":"https://doi.org/10.1145/3643541","url":null,"abstract":"Electrodermal activity (EDA) is a physiological signal that can be used to infer humans' affective states and stress levels. EDA can nowadays be monitored using unobtrusive wearable devices, such as smartwatches, and leveraged in personal informatics systems. A still largely uncharted issue concerning EDA is the impact on real applications of potential differences observable on signals measured concurrently on the left and right side of the human body. This phenomenon, called lateralization, originates from the distinct functions that the brain's left and right hemispheres exert on EDA. In this work, we address this issue by examining the impact of EDA lateralization in two classification tasks: a cognitive load recognition task executed in the lab and a sleep monitoring task in a real-world setting. We implement a machine learning pipeline to compare the performance obtained on both classification tasks using EDA data collected from the left and right sides of the body. Our results show that using EDA from the side that is not associated with the specific hemisphere activation leads to a significant decline in performance for the considered classification tasks. This finding highlights that researchers and practitioners relying on EDA data should consider possible EDA lateralization effects when deciding on sensor placement.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140261501","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

Embracing Distributed Acoustic Sensing in Car Cabin for Children Presence Detection 在车厢内采用分布式声学传感技术检测儿童是否存在

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2024-03-06 DOI: 10.1145/3643548

Yuqi Su, Fusang Zhang, Kai Niu, Tianben Wang, Beihong Jin, Zhi Wang, Yalan Jiang, Daqing Zhang, Lili Qiu, Jie Xiong

{"title":"Embracing Distributed Acoustic Sensing in Car Cabin for Children Presence Detection","authors":"Yuqi Su, Fusang Zhang, Kai Niu, Tianben Wang, Beihong Jin, Zhi Wang, Yalan Jiang, Daqing Zhang, Lili Qiu, Jie Xiong","doi":"10.1145/3643548","DOIUrl":"https://doi.org/10.1145/3643548","url":null,"abstract":"Contactless acoustic sensing has been actively exploited in the past few years to enable a large range of applications, ranging from fine-grained vital sign monitoring to coarse-grained human tracking. However, existing acoustic sensing systems mainly work on smartphone or smart speaker platforms. In this paper, we envision an exciting new acoustic sensing platform, i.e., car cabin which is inherently embedded with a large number of speakers and microphones. We propose the new concept of distributed acoustic sensing and develop novel designs leveraging the unique characteristics of rich multi-path in car cabin to enable fine-grained sensing even when the primary reflection is totally blocked. By using child presence detection as the application example, we show that child presence can be detected through body motions or even subtle breath (when the child is sleeping or in coma) at all locations in the cabin without any blind spots. We further show that the proposed system can robustly work in different car cabins, achieving an average detection accuracy of 97% and a false alarm rate always below 2% under different scenarios including those challenging ones such as rear-facing seat blockage. We believe the proposed distributed sensing modality in car cabin pushes acoustic sensing one big step towards real-life adoption.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140262283","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

AquaKey: Exploiting the Randomness of the Underwater Visible Light Communication Channel for Key Extraction AquaKey：利用水下可见光通信信道的随机性提取密钥

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2024-03-06 DOI: 10.1145/3643557

Lupeng Zhang, Pingchuan Wang, Minhao Cui, Jingwen Wei, Yu Tian, Jingchi Zhang, Jie Xiong, Lei Wang

{"title":"AquaKey: Exploiting the Randomness of the Underwater Visible Light Communication Channel for Key Extraction","authors":"Lupeng Zhang, Pingchuan Wang, Minhao Cui, Jingwen Wei, Yu Tian, Jingchi Zhang, Jie Xiong, Lei Wang","doi":"10.1145/3643557","DOIUrl":"https://doi.org/10.1145/3643557","url":null,"abstract":"Underwater Visible Light Communication (UVLC) is promising due to its relatively strong penetration capability in water and large frequency bandwidth. Visible Light Communication (VLC) is also considered a safer wireless communication paradigm as light signals can be constrained within the area of interest with obstacles such as walls, reducing the chance of potential attack. However, this intuitional security assumption is not true anymore in underwater environment. Recent research shows that the eavesdropping risk of UVLC is more severe than we thought, attributed to the divergence and scattering effects of light beams in water. In this paper, we harness the dynamic nature of underwater environments as a true random resource to extract symmetric keys for UVLC. Specifically, the proposed AquaKey system incorporates instantaneous bidirectional channel probing, computation of relative channel characteristics, and an environment-adaptive quantization algorithm. The above design addresses unique challenges caused by the dynamic underwater environment, including self-interference, high-frequency disturbance, and mismatch, ensuring the practicality and applicability of AquaKey. Additionally, AquaKey has negligible impact on communication and has no effect on the illumination function. Through extensive real-world experiments, we show that AquaKey can achieve reliable key extraction with cheap hardware, generating a 512-bit key in just 0.5-1 seconds.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140262503","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

EarSlide: a Secure Ear Wearables Biometric Authentication Based on Acoustic Fingerprint EarSlide：基于声学指纹的安全耳戴式生物识别认证技术

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2024-03-06 DOI: 10.1145/3643515

Zi Wang, Yilin Wang, Jie Yang

{"title":"EarSlide: a Secure Ear Wearables Biometric Authentication Based on Acoustic Fingerprint","authors":"Zi Wang, Yilin Wang, Jie Yang","doi":"10.1145/3643515","DOIUrl":"https://doi.org/10.1145/3643515","url":null,"abstract":"Ear wearables (earables) are emerging platforms that are broadly adopted in various applications. There is an increasing demand for robust earables authentication because of the growing amount of sensitive information and the IoT devices that the earable could access. Traditional authentication methods become less feasible due to the limited input interface of earables. Nevertheless, the rich head-related sensing capabilities of earables can be exploited to capture human biometrics. In this paper, we propose EarSlide, an earable biometric authentication system utilizing the advanced sensing capacities of earables and the distinctive features of acoustic fingerprints when users slide their fingers on the face. It utilizes the inward-facing microphone of the earables and the face-ear channel of the ear canal to reliably capture the acoustic fingerprint. In particular, we study the theory of friction sound and categorize the characteristics of the acoustic fingerprints into three representative classes, pattern-class, ridge-groove-class, and coupling-class. Different from traditional fingerprint authentication only utilizes 2D patterns, we incorporate the 3D information in acoustic fingerprint and indirectly sense the fingerprint for authentication. We then design representative sliding gestures that carry rich information about the acoustic fingerprint while being easy to perform. It then extracts multi-class acoustic fingerprint features to reflect the inherent acoustic fingerprint characteristic for authentication. We also adopt an adaptable authentication model and a user behavior mitigation strategy to effectively authenticate legit users from adversaries. The key advantages of EarSlide are that it is resistant to spoofing attacks and its wide acceptability. Our evaluation of EarSlide in diverse real-world environments with intervals over one year shows that EarSlide achieves an average balanced accuracy rate of 98.37% with only one sliding gesture.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140262691","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

Light and Dark Mode: A Comparison Between Android and iOS App UI Modes and Interviews with App Designers and Developers 明暗模式：安卓和 iOS 应用程序 UI 模式比较以及对应用程序设计师和开发人员的访谈

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2024-03-06 DOI: 10.1145/3643539

Sarah Andrew, Chelsea Bishop, Garreth W. Tigwell

引用次数: 0

Investigating Technology Adoption Soon After Sustaining a Spinal Cord Injury 调查脊髓损伤后不久的技术采用情况

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2024-03-06 DOI: 10.1145/3643507

Tamanna Motahar, Jason Wiese

{"title":"Investigating Technology Adoption Soon After Sustaining a Spinal Cord Injury","authors":"Tamanna Motahar, Jason Wiese","doi":"10.1145/3643507","DOIUrl":"https://doi.org/10.1145/3643507","url":null,"abstract":"A spinal cord injury (SCI) typically results in a sudden change to an individual's motor function. People's adoption of technology soon after a severe SCI is crucial, since they must relearn most technology interactions to adjust to their new physical abilities and regain independence. This study examines how individuals adopt technologies soon after sustaining a severe SCI. By qualitatively analyzing the perspectives of ten rehabilitation clinicians, three individuals who recently sustained an SCI, and two of those participants' family members, we surfaced a spectrum of individuals' motivations to adopt technology post-injury and highlight the challenges they face to adopt technology. Our findings highlight the need to incorporate the holistic experience---including technology literacy, perception of support, and acceptance of the \"new-normal\"---in technology design for individuals who have a sudden change to motor functions. Our findings show that technology adoption is a critical component for the overall adjustment of post-SCI life. Finally, we use the extended version of the Technology Acceptance Model (TAM) to make recommendations for more inclusive assistive design.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140263236","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

TouchKey: Touch to Generate Symmetric Keys by Skin Electric Potentials Induced by Powerline Radiation 触控键:通过触控产生由电力线辐射引起的皮肤电势的对称键

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2023-06-12 DOI: 10.1145/3596264

Y. Miao, Zhenyu Yan, HU Wen, Chaojie Gu, Yiu Chau, Rui Tan, Qi Lin

引用次数: 0

DisPad: Flexible On-Body Displacement of Fabric Sensors for Robust Joint-Motion Tracking DisPad:用于强健关节运动跟踪的柔性体上位移织物传感器

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2023-01-16 DOI: 10.48550/arXiv.2301.06249

Xiaowei Chen, Xiao Jiang, Jia-Qi Fang, Shihui Guo, Juncong Lin, Minghong Liao, Guoliang Luo, Hongbo Fu

引用次数: 2