Seungwoo Kang

• Ph.D.
• Professor (Assistant) at Korea University of Technology and Education

Computer-mediated interaction services connect people over a distance. However, we address that those people are often “locked in a frame”—which includes an interaction mode, a point in time, or a context of either person. We observe that such lock-ins make it difficult to shape the interaction to be mutually symmetric. In this article, we propose...

We propose a system that supports real-time product recognition and tracking based on text detection for mobile augmented reality. To accurately distinguish products with visually similar packages, we develop a method that recognizes product names by utilizing the characteristics of texts printed on the product packages. It first filters out irrele...

What if the window of our cars is a magic window, which transforms dark views outside of the window at night into bright ones as we can see in the daytime? To realize such a window, one of important requirements is that the stream of transformed images displayed on the window should be of high quality so that users perceive it as real scenes in the...

A parent's capacity to understand the mental states of both him/herself and the child is considered to play a significant role in various aspects of parent-child relationship-e.g., lowering parental stress and supporting cognitive development of the child. We propose Dyadic Mirror, a wearable smart mirror which is designed to foster the aforementio...

A number of Augmented Reality (AR) frameworks are now available and used to support the development of mobile AR applications. In this paper, we measure and compare the recognition performance of the commercial AR frameworks and identify potential issues that can occur in the real application environment. For experiments, we assume a situation in w...

We propose Tiger, an eyewear system for helping users follow the 20-20-20 rule to alleviate the Computer Vision Syndrome symptoms. It monitors user's screen viewing activities and provides real-time feedback to help users follow the rule. For accurate screen viewing detection, we devise a light-weight multi-sensory fusion approach with three sensin...

Featured Application An application to recommend blended tea suited to the user’s preferred flavors and health benefits. Abstract The rapidly growing interest in healthy lifestyles and the health benefit of foods and the growing tea-consuming population are driving the growth of the tea industry. In particular, the growing preference among Millenn...

We propose Tiger, an eyewear system for helping users follow the 20-20-20 rule to alleviate the Computer Vision Syndrome symptoms. It monitors user's screen viewing activities and provides real-time feedback to help users follow the rule. For accurate screen viewing detection, we devise a light-weight multi-sensory fusion approach with three sensin...

We propose TITAN, a tool that enables efficient testing of IoT applications during a development process. TITAN is designed to allow developers to execute and verify IoT applications in a development environment without being constrained by the physical environment and user behaviors required to test the application logic being developed. We presen...

What if the window of our cars is a magic window, which transforms dark views outside of the window at night into bright ones as we can see in the daytime? In this paper, we investigate the feasibility of implementing such a magic window, addressing two important requirements: (1) the quality of transformed images (from the nighttime to the daytime...

While having a child is a real blessing, raising the child may require parents to continuously resolve day-to-day conflicts with their child. In this paper, we examine the possibility of a mobile service to help parents deal with the moment of conflict in a peaceful way. Through the consultation with five psychotherapists, we understand the presenc...

Today's smartphone application (hereinafter ‘app’) markets do not provide information on power consumption of apps, which is essential for users. Continuous sensing apps make this problem more severe because significant power is consumed without users' awareness. We propose PowerForecaster to break through such an exhaustive cycle. It provides user...

We propose Tiger1, an eyeglasses-type wearable system to help users follow the 20-20-20 rule to alleviate the Computer Vision Syndrome (CVS) symptoms such as eyestrain, headaches, and dry eyes. It monitors user's screen viewing activities and provides real-time feedback to help users take appropriate actions. We present a system architecture with a...

Excerpted from "Card-stunt as a Service: Empowering a Massively Packed Crowd for Instant Collective Expressiveness" from MobiSys 2017, Proceedings of the 15th Annual ACM International Conference on Mobile Systems, Applications, and Services, with permission. https://dl.acm.org/ citation.cfm?id=3081357 © ACM 2017. Imagine a densely packed crowd with...

Consider a massive crowd who gathered together to convey their common voice to public, e.g., supporters of a team sitting together in a stadium, people doing a candlelight vigil in a public square, and so on. Imagine that they hold up their smartphone displays which collectively compose a huge public screen; the crowd's messages are now shown big o...

Imagine a densely packed crowd that gathers to convey a common message, such as people in a candlelight vigil or a protest. We envision an innovation through mobile computing technologies to empower such a crowd by enabling them simply to hold their phones up and create a massive collective visualization on top of them. We propose Card-stunt as a S...

Social events such as networking parties are excellent opportunities to expand one's social network and make new social ties, as well as simply have fun and enjoy oneself. With the emergence of pervasive technology, we now have the opportunity to discover face-to-face socializing behaviors of individual guests and support them in their socializing...

We propose PADA, a new power evaluation tool to measure and optimize power use of mobile sensing applications. Our motivational study with 53 professional developers shows they face huge challenges in meeting power requirements. The key challenges are from the significant time and effort for repetitive power measurements since the power use of sens...

Excerpted from "PowerForecaster: Predicting Smartphone Power Impact of Continuous Sensing Applications at Pre-Installation Time" from Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems with permission. http://dx.doi.org/10.1145/2809695.2809728 © ACM 2015.

In our preliminary study, we proposed a smartphone-integrated, unobtrusive electrocardiogram (ECG) monitoring system, Sinabro, which monitors a user’s ECG opportunistically during daily smartphone use without explicit user intervention. The proposed system also monitors ECG-derived features, such as heart rate (HR) and heart rate variability (HRV),...

We present a place-history-based activity prediction system called Agatha, in order to enable activity-aware mobile services in smart cities. The system predicts a user’s potential subsequent activities that are highly likely to occur given a series of information about activities done before or activity-related contextual information such as visit...

Recently, a number of continuous sensing applications have been actively proposed in research communities and commercially released in the market. However, due to their unique power characteristics, user behavior-dependent battery drain, they bring new challenges for users' power management on these applications. In this demonstration, we present a...

Today's smartphone application (hereinafter 'app') markets miss a key piece of information, power consumption of apps. This causes a severe problem for continuous sensing apps as they consume significant power without users' awareness. Users have no choice but to repeatedly install one app after another and experience their power use. To break such...

As an emerging wearable device, a number of commercial smartwatches have been released and widely used. While many people have concerns about the battery life of a smartwatch, there is no systematic study for the main usage of a smartwatch, its battery life, or battery discharging and recharging patterns of real smartwatch users. Accordingly, we kn...

Emerging continuous sensing apps introduce new major factors governing phones' overall battery consumption behaviors: (1) added nontrivial persistent battery drain, and more importantly (2) different battery drain rate depending on the user's different mobility condition. In this paper, we address the new battery impacting factors significant enoug...

In this paper, we introduce a novel smartphone framework called VisitSense that automatically detects and predicts a smartphone user’s place visits from ambient radio to enable behavioral targeting for mobile ads in large shopping malls. VisitSense enables mobile app developers to adopt visit-pattern-aware mobile advertising for shopping mall visit...

Knowing individuals' relational orientation is imperative for effective offline, as well as online, interactions and collaborations. We use attachment theory to examine the link between Facebook users' relational orientation (in terms of attachment styles: anxiety and avoidance) and their relational activities. Our research examines whether and how...

Continuous mobile sensing applications are emerging. Despite their usefulness, their real-world adoption has been slow. Many users are turned away by the drastic battery drain caused by continuous sensing and processing. In this paper, we propose CoMon+, a novel cooperative context monitoring system, which addresses the energy problem through oppor...

Abstract We propose CardioGuard, a brassiere-based reliable electrocardiogram (ECG) monitoring sensor system, for supporting daily smartphone healthcare applications. It is designed to satisfy two key requirements for user-unobtrusive daily ECG monitoring: reliability of ECG sensing and usability of the sensor. The system is validated through exten...

Finding a missing child is an important problem concerning not only parents but also our society. It is essential and natural to use serendipitous clues from neighbors for finding a missing child. In this paper, we explore a new architecture of crowd collaboration to expedite this mission-critical process and propose a crowd-sourced cooperative mob...

Mobile instant messengers serve as major interaction media for everyday chats. Contrary to the belief that a message is seen only by a designated receiver, it can be accidentally exposed to someone nearby and could result in embarrassing moments, for example, when the receiver is viewing pictures together with his friend upon the message arrival. T...

Disclosed herein is mobile middleware, a context monitoring method, a context-aware system, and a context-aware service provision method, which support energy-efficient context monitoring. The mobile middleware receives a request for a CMQ from context-aware application programs, receives sensor data from sensors, monitors whether the CMQ is satisf...

Heart rate variability (HRV) is known to be one of the representative ECG-derived features that are useful for diverse pervasive healthcare applications. The advancement in daily physiological monitoring technology is enabling monitoring of HRV in people's everyday lives. In this study, we evaluate the feasibility of measuring ECG-derived features...

In this paper, we present Orchestrator, an active resource orchestration framework for a PAN-scale sensor-rich mobile computing platform. Incorporating diverse sensing devices connected to a mobile phone, the platform will serve as a common base to accommodate personal context-aware applications. A major challenge for the platform is to simultaneou...

In this paper, we propose Sinabro, an opportunistic and unobtrusive mobile electrocardiogram (ECG) monitoring system that monitors the user's ECG opportunistically during daily smartphone use. Daily ECG monitoring will open up an unprecedented opportunity for pervasive healthcare applications. It will enable the daily detection and prevention of he...

Mobile applications that sense continuously, such as location monitoring, are emerging. Despite their usefulness, their adoption in real-world deployment situations has been extremely slow. Many smartphone users are turned away by the drastic battery drain caused by continuous sensing and processing. Also, the extractable contexts from the phone ar...

Bias in the news media is an inherent flaw of the news production process. The bias often causes a sharp increase in political polarization and in the cost of conflict on social issues such as the Iraq war. This article presents NewsCube, a novel Internet news service which aims to mitigate the effect of media bias. NewsCube automatically creates a...

User context is defined by data generated through everyday physical activity in sensor-rich, resource-limited mobile environments.

As smartphones have become prevalent, mobile advertising is getting significant attention as being not only a killer application in future mobile commerce, but also as an important business model of emerging mobile applications to monetize them. In this paper, we present AdNext, a visit-pattern-aware mobile advertising system for urban commercial c...

In this work, we are designing and developing a novel highperformance event detection framework to address the unique challenges of advanced large-scale monitoring applications, proliferating in the near future (e.g., large-scale urban sensor

This paper proposes MISSA, a novel middleware to facilitate the development and provision of stream-based services in emerging pervasive environments. The stream-based services utilize voluminous and continuously updated data streams as their input. The characteristics of data streams bring new requirements on the development and provision of the s...

The key feature of many emerging pervasive computing applications is to proactively provide services to mobile individuals. One major challenge in providing users with proactive services lies in continuously monitoring users' context based on numerous sensors in their PAN/BAN environments. The context monitoring in such environments imposes heavy w...

In this paper, we present Orchestrator, an active resource orchestration framework for mobile context monitoring. Emerging pervasive environments will introduce a PAN-scale sensor-rich mobile platform consisting of a mobile device and many wearable and space-embedded sensors. In such environments, it is challenging to enable multiple context-aware...

The bias in the news media is an inherent flaw of the news production process. The resulting bias often causes a sharp increase in political polarization and in the cost of conflict on social issues such as Iraq war. It is very difficult, if not impossible, for readers to have penetrating views on realities against such bias. This paper presents Ne...

In this paper, we present BMQ-Processor, a high-performance border-crossing event (BCE) detection framework for large-scale monitoring applications. We first characterize a new query semantics, namely, border monitoring query (BMQ), which is useful for BCE detection in many monitoring applications. It monitors the values of data streams and reports...

This article presents a hierarchical context monitoring and composition framework that effectively supports next-generation context-aware services. The upcoming ubiquitous space will be covered with innumerable sensors and tiny devices, which ceaselessly pump out a huge volume of data. This data gives us an opportunity for numerous proactive and in...

The bias in the news media is an inherent flaw of the news production process, spanning news gathering, writing, and editing stages. Producer's subjective valuation, wittingly or unwittingly, takes place during the daily production process. The resulting bias often causes a sharp increase in political polarization and in the cost of conflict on soc...

Proactively providing services to mobile individuals is essential for emerging ubiquitous applications. The major challenge in providing users with proactive services lies in continuously monitoring their contexts based on numerous sensors. The context monitoring with rich sensors imposes heavy workloads on mobile devices with limited computing and...

In most DHT-based peer-to-peer systems, objects are totally declustered since such systems use a hash function to distribute objects evenly. However, such an object de-clustering can result in significant inefficiencies in advanced access operations such as multi-dimensional range queries, continuous updates, etc, which are common in many emerging...

The bias of news media is an inherent flaw of the news production process, spanning news gathering, writing, and editing stages. Producer's subjective valuation, wittingly or unwittingly, takes place during the daily production process. The resulting bias often causes a sharp increase in political polarization and in the cost of conflict on social...

Border Monitoring Query (BMQ) has different query semantic from conventional continuous range query. It monitors the values of data streams and reports them only when data streams cross the borders of its range. In this paper, we first emphasize the importance and usefulness of BMQ through attractive service scenarios. Then, we propose BMQ-Index, w...

A fully Internet-connected business environment is subject to frequent changes. To ordinary customers, online shopping under such a dynamic environment can be frustrating. We propose a new E-commerce service called the CIGMA to assist online customers under such an environment. The CIGMA provides catalog comparison and purchase mediation services o...

This paper presents a Locality-Aware Multidimensional Range query Index, M-LARI, to evaluate Border Monitoring Queries efficiently. A Border Monitoring Query (BMQ) has different query semantics from traditional continuous range queries. It monitors the values of data streams and reports which data streams cross the borders of its range. This paper...

A fully Internet-connected business environment is subject to frequent changes. To ordinary customers, online shopping under such a dynamic environment can be frustrating. We propose a new E-commerce service called the CIGMA to assist online customers under such an environment. The CIGMA provides catalog comparison and purchase mediation services o...

Distributed Hash Tables (DHTs) have been widely adopted in many Internet-scale P2P systems. Emerging P2P applications such as massively multi player online games (MMOGs) and P2P catalog systems frequently update data or issue multi-dimensional range queries, but existing DHT-based P2P systems can not support these applications efficiently due to ob...

A fully connected Internet business environment will introduce a high level of dynamics to the business process. It may result in very frequent changes in business decisions and thus, information for various items may undergo constant change. In addition, there could be a flood of similar shopping sites. In such a highly dynamic environment, ordina...

In a highly dynamic e-commerce environment, ordinary online customers may feel that online shopping is not comfortable. Information on various items may undergo constant changes due to frequent changes in business decision. In addition, there could be a flood of similar shopping sites. Unfortunately, existing service models or systems are not effec...

This paper proposes MISSA, a novel middleware for easy development and provision of stream-based services. The stream-based services utilize voluminous and continuously updated data streams as their input. The characteristics of data streams bring new requirements on the development and provision of the services. To satisfy the requirements, a uniq...

When highly distributed data streaming services are fully realized, they will bring up new issues in delivering data streams to data consumers. First, data delivery scheme should be traffic efficient because the Internet can be easily inundated by a massive number of data streams. Also, the probing messages generated by many delivery schemes waste...