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Jheng-You Ke

dblp:217/9478 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Wearable and physiological sensing · 77% Personal fabrication and tangible interfaces · 12% Haptics and multimodal interaction · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › energy-efficient sensing
batteryless sensing
0.312018
RFIMatch: Distributed Batteryless Near-Field Identification Using RFID-Tagged Magnet-Biased Reed Switches · UIST 2018
Wearable and physiological sensing › radio frequency sensing
RFID sensing
0.312018
RFIBricks: Interactive Building Blocks Based on RFID · CHI 2018
Haptics and multimodal interaction
haptic feedback
0.112018
RFIMatch: Distributed Batteryless Near-Field Identification Using RFID-Tagged Magnet-Biased Reed Switches · UIST 2018
Personal fabrication and tangible interfaces
tangible interaction
0.112018
RFIBricks: Interactive Building Blocks Based on RFID · CHI 2018

Methods — techniques the papers use, named apart from their topics

reed switches · 0.3magnetic repulsion · 0.3RFID contact switch · 0.3RFID · 0.3
YearPublicationVenuePosition
2018 RFIBricks: Interactive Building Blocks Based on RFID
abstract
We present RFIBricks, an interactive building block system based on ultrahigh frequency radio-frequency identification (RFID) sensing. The system enables geometry resolution based on a simple yet highly generalizable mechanism: an RFID contact switch, which is made by cutting each RFID tag into two parts, namely antenna and chip. A magnetic connector is then coupled with each part. When the antenna and chip connect, an interaction event with an ID is transmitted to the reader. On the basis of our design of RFID contact switch patterns, we present a system of interactive physical building blocks that resolves the stacking order and orientation when one block is stacked upon another, determines a three-dimensional (3D) geometry built on a two-dimensional base plate, and detects user inputs by incorporating electromechanical sensors. Because it is calibration-free and does not require batteries in each block, it facilitates straightforward maintenance when deployed at scale. Compared with other approaches, this RFID-based system resolves several critical challenges in human-computer interaction, such as 1) determining the identity and the built 3D geometry of passive building blocks, 2) enabling stackable token+constraint interaction on a tabletop, and 3) tracking in-hand assembly.
Meng-Ju Hsieh, Rong-Hao Liang, Da-Yuan Huang, Jheng-You Ke, Bing-Yu Chen 0004
CHI4
2018 RFIMatch: Distributed Batteryless Near-Field Identification Using RFID-Tagged Magnet-Biased Reed Switches
abstract
This paper presents a technique enabling distributed batteryless near-field identification (ID) between two passive radio frequency ID (RFID) tags. Each conventional ultra-high-frequency (UHF) RFID tag is modified by connecting its antenna and chip to a reed switch and then attaching a magnet to one of the reed switch's terminals, thus transforming it into an always-on switch. When the two modules approach each other, the magnets counteract each other and turn off both switches at the same time. The coabsence of IDs thus indicates a unique interaction event. In addition to sensing, the module also provides native haptic feedback through magnetic repulsion force, enabling users to perceive the system's state eyes-free, without physical constraints. Additional visual feedback can be provided through an energy-harvesting module and a light emitting diode. This specific hardware design supports contactless, orientation-invariant sensing, with a form factor compact enough for embedded and wearable use in ubiquitous computing applications.
Rong-Hao Liang, Meng-Ju Hsieh, Jheng-You Ke, Jr-Ling Guo, Bing-Yu Chen 0004
UIST3