Drug overdose is the leading cause of death for people between the ages of 18 and 44 in the United States, with 106,699 deaths reported in 2021 [1]. In the most recent data collected in 2021, 15.6% of youth and adults aged 12 or older needed substance abuse treatment in the past year [2]. Substance use disorders (SUDs) affect people across all demographics. SUDs can be complicated by mental health issues, physical health concerns, social stigma, and marginalization. Due to the long-term and often recurring nature of this condition, substance use disorders are classified and treated as chronic illnesses, similar to cancer or diabetes.
{"title":"Be Consistent, Work the Program, Be Present Every Day: Exploring Technologies for Self-Tracking in Early Recovery","authors":"Jasmine Jones, Ye Yuan, S. Yarosh","doi":"10.1145/3614214.3614223","DOIUrl":"https://doi.org/10.1145/3614214.3614223","url":null,"abstract":"Drug overdose is the leading cause of death for people between the ages of 18 and 44 in the United States, with 106,699 deaths reported in 2021 [1]. In the most recent data collected in 2021, 15.6% of youth and adults aged 12 or older needed substance abuse treatment in the past year [2]. Substance use disorders (SUDs) affect people across all demographics. SUDs can be complicated by mental health issues, physical health concerns, social stigma, and marginalization. Due to the long-term and often recurring nature of this condition, substance use disorders are classified and treated as chronic illnesses, similar to cancer or diabetes.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"64 1","pages":"34 - 39"},"PeriodicalIF":1.0,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86500156","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}
We present Captivates, an open-source smartglasses system designed for long-term, in-the-wild psychophysiological monitoring at scale. Captivates integrate many underutilized physiological sensors in a streamlined package, including temple and nose temperature measurement, blink detection, head motion tracking, activity classification, 3D localization, and head pose estimation. Captivates was designed with an emphasis on (1) manufacturing and scalability, so we can easily support large-scale user studies for ourselves and offer the platform as a generalized tool for ambulatory psychophysiology research; (2) robustness and battery life, so long-term studies result in trustworthy data across an individual's entire day in natural environments without supervision or recharge; and (3) aesthetics and comfort, so people can wear them in their normal daily contexts without self-consciousness or changes in behavior.
{"title":"Captivates: A Smart Eyeglass Platform for Across-Context Physiological Measurements","authors":"Patrick C. Chwalek, David B. Ramsay, J. Paradiso","doi":"10.1145/3614214.3614220","DOIUrl":"https://doi.org/10.1145/3614214.3614220","url":null,"abstract":"We present Captivates, an open-source smartglasses system designed for long-term, in-the-wild psychophysiological monitoring at scale. Captivates integrate many underutilized physiological sensors in a streamlined package, including temple and nose temperature measurement, blink detection, head motion tracking, activity classification, 3D localization, and head pose estimation. Captivates was designed with an emphasis on (1) manufacturing and scalability, so we can easily support large-scale user studies for ourselves and offer the platform as a generalized tool for ambulatory psychophysiology research; (2) robustness and battery life, so long-term studies result in trustworthy data across an individual's entire day in natural environments without supervision or recharge; and (3) aesthetics and comfort, so people can wear them in their normal daily contexts without self-consciousness or changes in behavior.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"27 1","pages":"18 - 22"},"PeriodicalIF":1.0,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83326723","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}
S. H. Mortazavi, Mohammad Salehe, Moshe Gabel, Eyal de Lara
In recent years, there has been an exponential increase in the generation of data at the edge of the network. The International Data Corporation (IDC) estimates that the Global Datasphere, which was 33 zettabytes in 2018, will rise to 175 zettabytes by 2025, and there will be more than 150 billion connected devices worldwide [10]. The Internet of Things (IoT) segment is expected to experience the fastest growth, with data creation at the edge of the network projected to increase almost twice as fast as in the cloud. As a result, worldwide spending on edge computing is forecasted to reach 317 billion by 2026, as per IDC projections [1].
{"title":"Data Management Systems for the Hierarchical Edge","authors":"S. H. Mortazavi, Mohammad Salehe, Moshe Gabel, Eyal de Lara","doi":"10.1145/3614214.3614218","DOIUrl":"https://doi.org/10.1145/3614214.3614218","url":null,"abstract":"In recent years, there has been an exponential increase in the generation of data at the edge of the network. The International Data Corporation (IDC) estimates that the Global Datasphere, which was 33 zettabytes in 2018, will rise to 175 zettabytes by 2025, and there will be more than 150 billion connected devices worldwide [10]. The Internet of Things (IoT) segment is expected to experience the fastest growth, with data creation at the edge of the network projected to increase almost twice as fast as in the cloud. As a result, worldwide spending on edge computing is forecasted to reach 317 billion by 2026, as per IDC projections [1].","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"23 1","pages":"11 - 17"},"PeriodicalIF":1.0,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78473739","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}
The cellular network offers a ubiquitous emergency call service with its pervasive coverage. In the United States, it can be consumed by dialing 911 for cellular users, and the emergency call is forwarded to the public safety answer point (PSAP), which handles emergency service requests. According to regulatory authority requirements [1,2,3] for cellular emergency services, anonymous user equipment (UE) is allowed to access them without a SIM (Subscriber Identity Module) card, a valid mobile subscription, or a roaming agreement with the visited cellular network. Such support of the cellular emergency services requires different operations from conventional cellular services, thereby increasing the attack surface of the cellular infrastructure.
{"title":"Unveiling the Insecurity of Operational Cellular Emergency Services (911): Vulnerabilities, Attacks, and Countermeasures","authors":"Yiwen Hu, Min-Yue Chen, Guan-Hua Tu, Chi-Yu Li, Sihan Wang, Jingwen Shi, Tian Xie, Li Xiao, Chunyi Peng, Zhaowei Tan, Songwu Lu","doi":"10.1145/3599184.3599195","DOIUrl":"https://doi.org/10.1145/3599184.3599195","url":null,"abstract":"The cellular network offers a ubiquitous emergency call service with its pervasive coverage. In the United States, it can be consumed by dialing 911 for cellular users, and the emergency call is forwarded to the public safety answer point (PSAP), which handles emergency service requests. According to regulatory authority requirements [1,2,3] for cellular emergency services, anonymous user equipment (UE) is allowed to access them without a SIM (Subscriber Identity Module) card, a valid mobile subscription, or a roaming agreement with the visited cellular network. Such support of the cellular emergency services requires different operations from conventional cellular services, thereby increasing the attack surface of the cellular infrastructure.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"37 1","pages":"39 - 43"},"PeriodicalIF":1.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84060052","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}
Anthony Chen, Shiwen Mao, Zhu Li, Minrui Xu, Hongliang Zhang, D. Niyato, Zhu Han
The prevalent point cloud compression (PCC) standards of today are utilized to encode various types of point cloud data, allowing for reasonable bandwidth and storage usage. With increasing demand for high-fidelity three-dimensional (3D) models for a large variety of applications, including immersive visual communication, Augmented reality (AR) and Virtual Reality (VR), navigation, autonomous driving, and smart city, point clouds are seeing increasing usage and development to meet the increasing demands. However, with the advancements in 3D modelling and sensing, the amount of data required to accurately depict such representations and models is likewise ballooning to increasingly large proportions, leading to the development and standardization of the point cloud compression standards. In this article, we provide an overview of some topical and popular MPEG point cloud compression (PCC) standards. We discuss the development and applications of the Geometry-based PCC (G-PCC) and Video-based PCC (V-PCC) standards as they escalate in importance in an era of virtual reality and machine learning. Finally, we conclude our article describing the future research directions and applications of the PCC standards of today.
{"title":"An Introduction to Point Cloud Compression Standards","authors":"Anthony Chen, Shiwen Mao, Zhu Li, Minrui Xu, Hongliang Zhang, D. Niyato, Zhu Han","doi":"10.1145/3599184.3599188","DOIUrl":"https://doi.org/10.1145/3599184.3599188","url":null,"abstract":"The prevalent point cloud compression (PCC) standards of today are utilized to encode various types of point cloud data, allowing for reasonable bandwidth and storage usage. With increasing demand for high-fidelity three-dimensional (3D) models for a large variety of applications, including immersive visual communication, Augmented reality (AR) and Virtual Reality (VR), navigation, autonomous driving, and smart city, point clouds are seeing increasing usage and development to meet the increasing demands. However, with the advancements in 3D modelling and sensing, the amount of data required to accurately depict such representations and models is likewise ballooning to increasingly large proportions, leading to the development and standardization of the point cloud compression standards. In this article, we provide an overview of some topical and popular MPEG point cloud compression (PCC) standards. We discuss the development and applications of the Geometry-based PCC (G-PCC) and Video-based PCC (V-PCC) standards as they escalate in importance in an era of virtual reality and machine learning. Finally, we conclude our article describing the future research directions and applications of the PCC standards of today.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"1 1","pages":"11 - 17"},"PeriodicalIF":1.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76210530","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}
The past two decades have witnessed the surge of smartphones and mobile applications. When going out, people will naturally open the map application (such as Google Maps) to find their current location (i.e., localization) and the way to their destination (i.e., navigation). At the same time, many people rely on their smartphones for localization when they walk into shopping malls, especially in large shopping centers. In outdoor environments, we usually leverage GPS to estimate our location. However, satellite signals are oftentimes weak inside buildings, resulting in large positioning errors and thus a poor navigation experience for users.
{"title":"Localize Yourself in Malls: An Anatomy of a Commercial Localization System with One-million Users","authors":"Yuming Hu, Feng Qian, Zhimeng Yin, Zhenhua Li, Zhe Ji, Yeqiang Han, Qiang Xu, Wei Jiang","doi":"10.1145/3599184.3599194","DOIUrl":"https://doi.org/10.1145/3599184.3599194","url":null,"abstract":"The past two decades have witnessed the surge of smartphones and mobile applications. When going out, people will naturally open the map application (such as Google Maps) to find their current location (i.e., localization) and the way to their destination (i.e., navigation). At the same time, many people rely on their smartphones for localization when they walk into shopping malls, especially in large shopping centers. In outdoor environments, we usually leverage GPS to estimate our location. However, satellite signals are oftentimes weak inside buildings, resulting in large positioning errors and thus a poor navigation experience for users.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"44 1","pages":"34 - 38"},"PeriodicalIF":1.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81411885","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}
A. Bakar, Rishabh Goel, Jasper de Winkel, Jason Huang, Saad Ahmed, Bashima Islam, P. Pawełczak, K. Yıldırım, Josiah D. Hester
Today's smart devices have short battery lifetimes, high installation and maintenance costs, and rapid obsolescence - all leading to the explosion of electronic waste in the past two decades. These problems will worsen as the number of connected devices grows to one trillion by 2035. Energy harvesting, battery-free devices offer an alternative. Getting rid of the battery reduces e-waste, promises long lifetimes, and enables deployment in new applications and environments. Unfortunately, developing sophisticated inference-capable applications is still challenging. The lack of platform support for advanced (32-bit) microprocessors and specialized accelerators, which can execute dataintensive machine-learning tasks, has held back batteryless devices.
{"title":"Protean: Adaptive Hardware-Accelerated Intermittent Computing","authors":"A. Bakar, Rishabh Goel, Jasper de Winkel, Jason Huang, Saad Ahmed, Bashima Islam, P. Pawełczak, K. Yıldırım, Josiah D. Hester","doi":"10.1145/3599184.3599186","DOIUrl":"https://doi.org/10.1145/3599184.3599186","url":null,"abstract":"Today's smart devices have short battery lifetimes, high installation and maintenance costs, and rapid obsolescence - all leading to the explosion of electronic waste in the past two decades. These problems will worsen as the number of connected devices grows to one trillion by 2035. Energy harvesting, battery-free devices offer an alternative. Getting rid of the battery reduces e-waste, promises long lifetimes, and enables deployment in new applications and environments. Unfortunately, developing sophisticated inference-capable applications is still challenging. The lack of platform support for advanced (32-bit) microprocessors and specialized accelerators, which can execute dataintensive machine-learning tasks, has held back batteryless devices.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"12 1","pages":"5 - 10"},"PeriodicalIF":1.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78930428","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}
Infrastructure-assisted autonomous driving is an emerging paradigm that expects to significantly improve the driving safety of autonomous vehicles. The key enabling technology for this vision is to fuse LiDAR results from the roadside infrastructure and the vehicle to improve the vehicle's perception in real time. In this work, we propose VIPS, a novel lightweight system that can achieve decimeter-level and real-time (up to 100ms) perception fusion between driving vehicles and roadside infrastructure. The key idea of VIPS is to exploit highly efficient matching of graph structures that encode objects' lean representations as well as their relationships, such as locations, semantics, sizes, and spatial distribution. Moreover, by leveraging the tracked motion trajectories, VIPS can maintain the spatial and temporal consistency of the scene, which effectively mitigates the impact of asynchronous data frames and unpredictable communication/ compute delays.
{"title":"VIPS: Real-Time Perception Fusion for Infrastructure-Assisted Autonomous Driving","authors":"Shuyao Shi, Jiahe Cui, Zhehao Jiang, Zhenyu Yan, Guoliang Xing, Jianwei Niu, Zhenchao Ouyang","doi":"10.1145/3599184.3599193","DOIUrl":"https://doi.org/10.1145/3599184.3599193","url":null,"abstract":"Infrastructure-assisted autonomous driving is an emerging paradigm that expects to significantly improve the driving safety of autonomous vehicles. The key enabling technology for this vision is to fuse LiDAR results from the roadside infrastructure and the vehicle to improve the vehicle's perception in real time. In this work, we propose VIPS, a novel lightweight system that can achieve decimeter-level and real-time (up to 100ms) perception fusion between driving vehicles and roadside infrastructure. The key idea of VIPS is to exploit highly efficient matching of graph structures that encode objects' lean representations as well as their relationships, such as locations, semantics, sizes, and spatial distribution. Moreover, by leveraging the tracked motion trajectories, VIPS can maintain the spatial and temporal consistency of the scene, which effectively mitigates the impact of asynchronous data frames and unpredictable communication/ compute delays.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"71 1","pages":"28 - 33"},"PeriodicalIF":1.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80906212","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}
Zhanghao Yu, Fatima T. Alrashdan, Wen Wang, M. Parker, Xinyu Chen, Frank Y. Chen, Joshua Woods, Zhiyu Chen, Jacob T. Robinson, Kaiyuan Yang
Magnetoelectric power transfer has shown remarkable promise for the development of wireless millimetric bioelectronic implants with its low tissue absorption, high efficiency, and low misalignment sensitivity. Utilizing the same physical mechanism for power and communication is critical for implant miniaturization. For the first time, we designed and demonstrated near-zero power magnetoelectric backscatter from mm-sized implants by exploiting the converse magnetostriction effects. The prototype system consists of an 8.2-mm3 wireless implant integrating an application-specific integrated circuit (ASIC) that achieves frequency-shift-keying backscattering via capacitive load modulation and a custom transceiver demodulating data through frequency-to-digital conversion. The magnetoelectric backscatter archives > 1 kbps data rate at the 335-kHz carrier frequency, with a communication distance greater than 2 cm and a bit error rate (BER) less than 1E-3.
{"title":"Magnetoeletric Backscatter Communication for Millimeter-Sized Wireless Biomedical Implants","authors":"Zhanghao Yu, Fatima T. Alrashdan, Wen Wang, M. Parker, Xinyu Chen, Frank Y. Chen, Joshua Woods, Zhiyu Chen, Jacob T. Robinson, Kaiyuan Yang","doi":"10.1145/3599184.3599192","DOIUrl":"https://doi.org/10.1145/3599184.3599192","url":null,"abstract":"Magnetoelectric power transfer has shown remarkable promise for the development of wireless millimetric bioelectronic implants with its low tissue absorption, high efficiency, and low misalignment sensitivity. Utilizing the same physical mechanism for power and communication is critical for implant miniaturization. For the first time, we designed and demonstrated near-zero power magnetoelectric backscatter from mm-sized implants by exploiting the converse magnetostriction effects. The prototype system consists of an 8.2-mm3 wireless implant integrating an application-specific integrated circuit (ASIC) that achieves frequency-shift-keying backscattering via capacitive load modulation and a custom transceiver demodulating data through frequency-to-digital conversion. The magnetoelectric backscatter archives > 1 kbps data rate at the 335-kHz carrier frequency, with a communication distance greater than 2 cm and a bit error rate (BER) less than 1E-3.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"46 1","pages":"23 - 27"},"PeriodicalIF":1.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85896315","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}
Paving the way towards the realization of Mark Weiser's vision of ubiquitous computing [1], the research community has made incredible advancements on several fronts. When it comes to interacting with humans, for example, computers can already use pretty much anything as a touchpad [2]. Similarly, when it comes to sensing the environment, computers can unobtrusively detect anything from a driver fatigue [3] to the presence of the queen bee in a hive [4]. When compared with these, advancements on the "core" front - the computing itself - appear to be rather orthodox and limited.
{"title":"In Search of an Accuracy-Tuneable Accelerator Platform for Ubiquitous Computing","authors":"Ratko Pilipović, V. Pejović, O. Machidon","doi":"10.1145/3599184.3599190","DOIUrl":"https://doi.org/10.1145/3599184.3599190","url":null,"abstract":"Paving the way towards the realization of Mark Weiser's vision of ubiquitous computing [1], the research community has made incredible advancements on several fronts. When it comes to interacting with humans, for example, computers can already use pretty much anything as a touchpad [2]. Similarly, when it comes to sensing the environment, computers can unobtrusively detect anything from a driver fatigue [3] to the presence of the queen bee in a hive [4]. When compared with these, advancements on the \"core\" front - the computing itself - appear to be rather orthodox and limited.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"270 1","pages":"18 - 22"},"PeriodicalIF":1.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89959198","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}
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