蒋纬炜
Weiwei Jiang

Mobile Near-Infrared Sensing - A Systematic Review on Devices, Data, Modeling and Applications

W. Jiang, J. Goncalves, V. Kostakos (ACM Computing Surveys 2024) [PDF]

Mobile near-infrared sensing is becoming an increasingly important method in many research and industrial areas. To help consolidate progress in this area, we use the PRISMA guidelines to conduct a systematic review of mobile near-infrared sensing, including 1) existing prototypes and commercial products; 2) data collection techniques; 3) machine learning methods; 4) relevant application areas. Our work measures historical and current trends, and identifies current challenges and future directions for this emerging topic.

InfoPrint: Embedding Interactive Information in 3D Prints Using Low-Cost Readily-Available Printers and Materials

W. Jiang, C. Wang, Z. Sarsenbayeva, A. Irlitti, J. Wei, J. Knibbe, T. Dingler, J. Goncalves, V. Kostakos (IMWUT 2023) [PDF] [Video]

Our work presents a novel method for embedding invisible, interactive information in 3D printed objects using standard materials and thermal imaging, enabling diverse applications from interactive displays to augmented reality.

Near-infrared Imaging for Information Embedding and Extraction with Layered Structures

W. Jiang, D. Yu, C. Wang, Z. Sarsenbayeva, N. Berkel, J. Goncalves, V. Kostakos (ToG 2022) [PDF] [src]

We present a low-cost near-infrared imaging method using a miniaturized near-infrared spectroscopy scanner and a 2D-plotter, optimized for information embedding and extraction in everyday settings. Our system enables revealing occluded contents in layer structures such as 3D prints, laser-cut prototypes, and paper stacks.

User Trust in Assisted Decision-Making Using Miniaturized Near-Infrared Spectroscopy

W. Jiang, Z. Sarsenbayeva, N. Berkel, C. Wang, D. Yu, J. Wei, J. Goncalves, V. Kostakos (CHI 2021) [PDF] [toolkit]

In our study, we explore the use of a miniaturized Near-Infrared Spectroscopy (NIRS) device in a machine learning-assisted task to determine gluten presence in food, focusing on user interaction and the impact of nutrition labels and confidence representations on trust and perception. Our findings reveal conservative judgment tendencies among participants, strategies to boost system trust, and contribute to understanding the mass application of NIRS in everyday sensing and enhancing assisted decision-making systems' trustworthiness.

Probing Sucrose Contents in Everyday Drinks Using Miniaturized Near-Infrared Spectroscopy Scanners

W. Jiang, G. Marini, N. Berkel, Z. Sarsenbayeva, Z. Tan, C. Luo, X. He, T. Dingler, J. Goncalves, Y. Kawahara, V. Kostakos (IMWUT 2020) [PDF] [src] [toolkit]

We explore the adaptation of miniaturized Near-Infrared Spectroscopy (NIRS) technology to probing liquid content, by prototyping a mobile device with a NIRS scanner and a 3D printed clamp. We show that our device can accurately estimate content concentration in commercial drinks, alcohols and perfumes under varying conditions, contributing to the development of everyday consumer "food scanners".

Continuum Robotic Caterpillar with Wirelessly Powered Shape Memory Alloy Actuators

C. Caffrey, T. Umedachi, W. Jiang, T. Sasatani, R. Niiyama, Y. Kawahara (SoftRobotics 2020) [PDF]

We introduce a design for soft-bodied continuum robots using thin film receiver coils and an inductively coupled wireless powering solution, enabling limitless operational time and reduced weight without compromising their continuum deformation and locomotion abilities. Our system, exemplified by a 3D printed soft robotic caterpillar, integrates this design with actuators and flexible power receiving coils, maintaining the robot's essential functions and structure.