Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking最新文献
Md Sabbir Ahmed, Arafat Rahman, Zhiyuan Wang, Mark Rucker, Laura E Barnes
{"title":"A Resource Efficient System for On-Smartwatch Audio Processing.","authors":"Md Sabbir Ahmed, Arafat Rahman, Zhiyuan Wang, Mark Rucker, Laura E Barnes","doi":"10.1145/3636534.3698866","DOIUrl":"10.1145/3636534.3698866","url":null,"abstract":"<p><p>While audio data shows promise in addressing various health challenges, there is a lack of research on on-device audio processing for smartwatches. Privacy concerns make storing raw audio and performing post-hoc analysis undesirable for many users. Additionally, current on-device audio processing systems for smartwatches are limited in their feature extraction capabilities, restricting their potential for understanding user behavior and health. We developed a real-time system for on-device audio processing on smartwatches, which takes an average of 1.78 minutes (SD = 0.07 min) to extract 22 spectral and rhythmic features from a 1-minute audio sample, using a small window size of 25 milliseconds. Using these extracted audio features on a public dataset, we developed and incorporated models into a watch to classify foreground and background speech in real-time. Our Random Forest-based model classifies speech with a balanced accuracy of 80.3%.</p>","PeriodicalId":91382,"journal":{"name":"Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking","volume":"2024 ","pages":"1805-1807"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12126283/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144200976","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}
{"title":"Perceptual-Centric Image Super-Resolution using Heterogeneous Processors on Mobile Devices.","authors":"Kai Huang, Xiangyu Yin, Tao Gu, Wei Gao","doi":"10.1145/3636534.3690698","DOIUrl":"10.1145/3636534.3690698","url":null,"abstract":"<p><p>Image super-resolution (SR) is widely used on mobile devices to enhance user experience. However, neural networks used for SR are computationally expensive, posing challenges for mobile devices with limited computing power. A viable solution is to use heterogeneous processors on mobile devices, especially the specialized hardware AI accelerators, for SR computations, but the reduced arithmetic precision on AI accelerators can lead to degraded perceptual quality in upscaled images. To address this limitation, in this paper we present <i>SR For Your Eyes (FYE-SR)</i>, a novel image SR technique that enhances the perceptual quality of upscaled images when using heterogeneous processors for SR computations. FYE-SR strategically splits the SR model and dispatches different layers to heterogeneous processors, to meet the time constraint of SR computations while minimizing the impact of AI accelerators on image quality. Experiment results show that FYE-SR outperforms the best baselines, improving perceptual image quality by up to 2×, or reducing SR computing latency by up to 5.6× with on-par image quality.</p>","PeriodicalId":91382,"journal":{"name":"Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking","volume":"2024 ","pages":"1361-1376"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11931654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702331","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}
George Boateng, Vivian Genaro Motti, Varun Mishra, John A Batsis, Josiah Hester, David Kotz
{"title":"Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications.","authors":"George Boateng, Vivian Genaro Motti, Varun Mishra, John A Batsis, Josiah Hester, David Kotz","doi":"10.1145/3300061.3345432","DOIUrl":"10.1145/3300061.3345432","url":null,"abstract":"<p><p>Wrist-worn devices hold great potential as a platform for mobile health (mHealth) applications because they comprise a familiar, convenient form factor and can embed sensors in proximity to the human body. Despite this potential, however, they are severely limited in battery life, storage, band-width, computing power, and screen size. In this paper, we describe the experience of the research and development team designing, implementing and evaluating <i>Amulet</i> - an open-hardware, open-software wrist-worn computing device - and its experience using Amulet to deploy mHealth apps in the field. In the past five years the team conducted 11 studies in the lab and in the field, involving 204 participants and collecting over 77,780 hours of sensor data. We describe the technical issues the team encountered and the lessons they learned, and conclude with a set of recommendations. We anticipate the experience described herein will be useful for the development of other research-oriented computing platforms. It should also be useful for researchers interested in developing and deploying mHealth applications, whether with the Amulet system or with other wearable platforms.</p>","PeriodicalId":91382,"journal":{"name":"Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking","volume":"2019 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276769/pdf/nihms-1045926.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39184527","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}