Inseok Hwang
Pohang University of Science and Technology · 情報科学
研究室紹介
Professor Inseok Hwang's research lab specializes in context-aware mobile computing, focusing on energy-efficient sensing, gesture interaction, and real-time context monitoring for everyday human interactions. The lab develops innovative mobile and wearable systems that support health, social engagement, and smart environments through collaborative sensing and adaptive computing. Key research directions include cooperative sensing platforms, low-power gesture recognition, and pervasive systems for monitoring face-to-face interactions and child language development.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Mobile 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 are quite limited due to its position and sensing modalities. In this paper, we propose CoMon, a novel cooperative ambience monitoring platform, which n
Gesture is a promising mobile User Interface modality that enables eyes-free interaction without stopping or impeding movement. In this paper, we present the design, implementation, and evaluation of E-Gesture, an energy-efficient gesture recognition system using a hand-worn sensor device and a smartphone. E-gesture employs a novel gesture recognition architecture carefully crafted by studying sporadic occurrence patterns of gestures in continuous sensor data streams and analyzing the energy con
In this paper, we propose SocioPhone, a novel initiative to build a mobile platform for face-to-face interaction monitoring. Face-to-face interaction, especially conversation, is a fundamental part of everyday life. Interaction-aware applications aimed at facilitating group conversations have been proposed, but have not proliferated yet. Useful contexts to capture and support face-to-face interactions need to be explored more deeply. More important, recognizing delicate conversational contexts w
Language delay is a developmental problem of children who do not acquire language as expected for their chronological ages. Without timely intervention, language delay can act as a lifelong risk factor. Speech-language pathologists highlight that effective parent participation in everyday parent-child conversation is important to treat children's language delay. For effective roles, however, parents need to alter their own lifelong-established conversation habits, requiring extensive period of c
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 intelligent services. The services require extensive understanding of rich and comprehensive contexts in real time. The framework provides three hierarc
We developed Exertainer, a sensor-enabled, interactive running entertainment system to support advanced exercise applications. We designed Exertainer to be used in urban environments where outdoor running is often not convenient or practical; as such, Exertainer and Exertainer running applications represent an attractive alternative to traditional treadmill running. Exertainer effectively creates a robust design space around treadmill running. Developers can leverage Exertainer's components, an
We propose novel interpersonal assistants, a next-generation conversational agent which is always-on, unobtrusively serving natural human-to-human conversations. We deepen the motivation and design insights with real practices in language delays and parent–child conflicts. We then present a common platform initiative to effectively support rapid development of interpersonal assistant applications, with a highlight on the key functional element of turn isolations and technical insights on microst
A kindergarten is an interesting community of young children. The children continuously share their interactions and experiences, and grow along similar developmental stages. In this setting, studying relative differences among them can be an interesting approach to investigating how to help their individual and social development. In this study, we present our intuition on inter-child behavioral relativity and apply it to a real kindergarten environment. We conduct a close user study necessitat
The Cu 2P 3/2 photoelectron spectra were acquired to study the coordination state and oxidation state of Cu in ZSM-5 in the NO reduction by propene in the presence of excess oxygen. Two peaks at higher binding energy (937 eV) and lower binding energy (934.3 eV) were found to be changed in intensity depending on the treatment under oxidizing/reducing conditions. The oxidizing condition obtained by the presence of O 2 or NO/O 2 induces the formation of the peak at higher binding energy, indicating
Emerging pervasive games will be immersed into real-life situations and leverage new types of contextual interactions therein. For instance, a player's punching gesture, running activity, and fast heart rate conditions can be used as the game inputs. Although the contextual interaction is the core building blocks of pervasive games, individual game developers hardly utilize a rich set of interactions within a game play. Most challenging, it is significantly difficult for developers to expect dyn
We present the design goals and functional components of MASTAQ, a data management middleware for pervasive applications that utilize sensor data. MASTAQ allows applications to specify their quality-of information (QoI) preferences (in terms of statistical metrics over the data) independent of the underlying network topology. It then achieves energy efficiency by adaptively activating and querying only the subset of sensor nodes needed to meet the target QoI bounds. We also present a closed-loop
This paper suggests the use of a prefilter before baud-rate timing recovery (Mueller and Muller 1976). It is shown that the timing phase of the baud-rate timing synchronizer can be set to a desirable timing phase, at which point a digital equalizer performs best, by proper prefiltering. The procedure for the optimal design of such a prefilter is developed under the assumption that the channel impulse response and desirable timing phase for equalization are known. Application of the proposed sche