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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.

context-aware computingenergy-efficient sensingwearable interactioncollaborative sensingmobile health

Research Overview

Papers
117
Total Citations
1,278
Papers (5y)
35
Primary Field
情報科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
35total
2021
2022
2023
2024
2025
Citations per year (5y)
131total
20212022202320242025

Selected Papers

15
1
Article|121 citations·2012
CoMon
Youngki Lee, Younghyun Ju, Chulhong Min, Seungwoo Kang, Inseok Hwang, Junehwa Song

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 are quite limited due to its position and sensing modalities. In this paper, we propose CoMon, a novel cooperative ambience monitoring platform, which n

Computer Science ApplicationsComputer Science
2
Article|119 citations·2011
E-Gesture
Taiwoo Park, Jinwon Lee, Inseok Hwang, Chungkuk Yoo, Lama Nachman, Junehwa Song

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

Human-Computer InteractionComputer Science
3
Article|109 citations·2013
SocioPhone
Youngki Lee, Chulhong Min, Chanyou Hwang, Jaeung Lee, Inseok Hwang, Younghyun Ju, Chungkuk Yoo, Miri Moon, Uichin Lee, Junehwa Song
OA

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

Artificial IntelligenceComputer Science
4
Article|66 citations·2014
TalkBetter
Inseok Hwang, Chungkuk Yoo, Chanyou Hwang, Dongsun Yim, Youngki Lee, Chulhong Min, John Kim, Junehwa Song
OA

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

Developmental and Educational PsychologyPsychology
5
Article|48 citations·2008
HiCon: a hierarchical context monitoring and composition framework for next-generation context-aware services
Kyungmin Cho, Inseok Hwang, Seungwoo Kang, Byoungjip Kim, Jinwon Lee, Sang-Jeong Lee, Souneil Park, Junehwa Song, Yunseok Rhee
SJR Q1IEEE Network

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

Computer Vision and Pattern RecognitionComputer Science
6
Article|40 citations·2009
Running or gaming
Miru Ahn, Sungjun Kwon, Byunglim Park, Kyungmin Cho, Sungwon Peter Choe, Inseok Hwang, Hyuk‐Jae Jang, Jaesang Park, Yunseok Rhee, Junehwa Song

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

Human-Computer InteractionComputer Science
7
Article|27 citations·2019
Towards Interpersonal Assistants: Next-Generation Conversational Agents
Inseok Hwang, Youngki Lee, Chungkuk Yoo, Chulhong Min, Dongsun Yim, John Kim
SJR Q3IEEE Pervasive Computing

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

Artificial IntelligenceComputer Science
8
Article|26 citations·2010
Exploring inter-child behavioral relativity in a shared social environment
Inseok Hwang, Hyukjae Jang, Lama Nachman, Junehwa Song

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

Cognitive NeuroscienceNeuroscience
9
Article|25 citations·1997
In Situ X-ray Photoelectron Spectroscopy Study of Cu/ZSM-5 in the Selective Catalytic Reduction of NO by Propene
Inseok Hwang, Seong Ihl Woo
SJR Q1The Journal of Physical Chemistry B

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

Materials ChemistryMaterials Science
10
Book Chapter|24 citations·2012
Leveraging Children’s Behavioral Distribution and Singularities in New Interactive Environments: Study in Kindergarten Field Trips
Inseok Hwang, Hyuk‐Jae Jang, Taiwoo Park, Aram Choi, Youngki Lee, Chanyou Hwang, Yanggui Choi, Lama Nachman, Junehwa Song
SJR Q2Lecture notes in computer scienceOA
Information SystemsComputer Science
11
Article|17 citations·2012
Toward a mobile platform for pervasive games
Inseok Hwang, Youngki Lee, Taiwoo Park, Junehwa Song
OA

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

Human-Computer InteractionComputer Science
12
Article|12 citations·2005
MASTAQ: A Middleware Architecture for Sensor Applications with Statistical Quality Constraints
Inseok Hwang, Qi Han, Archan Misra

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

Computer Networks and CommunicationsComputer Science
13
Article|6 citations·1997
UHV-TPD study of NO adsorption/reaction over
Inseok Hwang, Mei Xin, Seong Ihl Woo
SJR Q1Applied Surface Science
Materials ChemistryMaterials Science
14
Article|4 citations·2002
Optimization of baud-rate timing recovery for equalization
Inseok Hwang, Yong Hoon Lee
SJR Q1IEEE Transactions on Communications

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

Electrical and Electronic EngineeringEngineering
15
Book Chapter|2 citations·1994
Characterization and Catalytic Properties of Zeolite-Supported Platinum-Iridium Bimetallic Catalysts Prepared by Decoration of Iridium
Inseok Hwang, Seong Ihl Woo
Studies in surface science and catalysis
Materials ChemistryMaterials Science

Research Areas

Human-Computer InteractionElectrical and Electronic EngineeringComputer Vision and Pattern RecognitionArtificial IntelligenceMaterials ChemistryComputer Science Applications

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