A5070875931- Tactile and Sensory Interactions
- Interactive and Immersive Displays
- Advanced Sensor and Energy Harvesting Materials
- Advanced Decision-Making Techniques
- Evaluation Methods in Various Fields
- Energy Harvesting in Wireless Networks
- Innovative Energy Harvesting Technologies
- Design Education and Practice
- Evaluation and Optimization Models
- Augmented Reality Applications
- Innovative Teaching and Learning Methods
- Mobile Learning in Education
- Research studies in Vietnam
- Teaching and Learning Programming
- Atomic and Subatomic Physics Research
- Advanced NMR Techniques and Applications
- Innovative Human-Technology Interaction
- Privacy, Security, and Data Protection
- Smart Grid and Power Systems
- Opportunistic and Delay-Tolerant Networks
- Advanced Memory and Neural Computing
- Bluetooth and Wireless Communication Technologies
- Mobile Crowdsensing and Crowdsourcing
- Advanced Malware Detection Techniques
- Advanced MRI Techniques and Applications
Georgia Institute of Technology
2015-2022
Tsinghua University
2010-2011
Abstract Conventional vision-based systems, such as cameras, have demonstrated their enormous versatility in sensing human activities and developing interactive environments. However, these systems long been criticized for incurring privacy, power, latency issues due to underlying structure of pixel-wise analog signal acquisition, computation, communication. In this research, we overcome limitations by introducing in-sensor computation through the distribution interconnected photodetectors...
We present UbiquiTouch, an ultra low power wireless touch interface. With average consumption of 30.91μW, UbiquiTouch can run on energy harvested from ambient light. It achieves this performance through sensing and passive communication to a nearby smartphone using FM backscatter. This approach allows be deployed in mobile situations both indoor outdoor locations, without the need for any additional infrastructure operation. To demonstrate potential technology, we evaluate it several...
We present an alternate approach to smartwatch interactions using non-voice acoustic input captured by the device's microphone complement touch and speech. Whoosh is interaction technique that recognizes type length of events performed user enable low-cost, hands-free, rapid on smartwatches. build a recognition system capable detecting directed at around watch, including blows, sip-and-puff, directional air swipes, without hardware modifications device. Further, inspired design musical...
Purpose Ultralow‐field (ULF) point‐of‐care MRI systems allow image acquisition without interrupting medical provision, with neonatal clinical care being an important potential application. The ability to measure brain tissue T 1 is a key enabling technology for subsequent structural contrast optimization, as well biomarker development. Here we describe optimized strategy mapping at ULF. Methods Examinations were performed on 64‐mT portable system. A phantom validation experiment was...
While most smartphones today have a rich set of sensors that could be used to infer input (.e.g., accelerometer, gyroscope, microphone), the primary mode interaction is still limited front-facing touchscreen and several physical buttons on case. To investigate potential opportunities for interactions supported by built-in sensors, we present implementation evaluation BeyondTouch, family extend enrich experience smartphone. Using only existing sensing capabilities commodity smartphone, offer...
Ubiquitous computing requires robust and sustainable sensing techniques to detect users for explicit implicit inputs. Existing solutions with cameras can be privacy-invasive. Battery-powered sensors require user maintenance, preventing practical ubiquitous sensor deployment. We present OptoSense, a general-purpose self-powered system which senses ambient light at the surface level of everyday objects as high-fidelity signal infer activities interactions. To situate novelty OptoSense among...
We introduce Serpentine, a self-powered sensor that is reversibly deformable cord capable of sensing variety human input. The material properties and structural design Serpentine allow it to be flexible, twistable, stretchable squeezable, enabling broad expressive input modalities. operates using the principle Triboelectric Nanogenerators (TENG), which allows sense mechanical deformation without an external power source. affordances include six interactions---Pluck, Twirl, Stretch, Pinch,...
Most smartphones today have a rich set of sensors that could be used to infer input (e.g., accelerometer, gyroscope, microphone); however, the primary mode interaction is still limited front-facing touchscreen and several physical buttons on case. To investigate potential opportunities for interactions supported by built-in sensors, we present implementation evaluation BeyondTouch, family extend enrich experience smartphone. Using only existing sensing capabilities commodity smartphone,...
The goal of this project is to use projection augmented reality add design studio learning models a classroom for an introductory Media Computation computer science class. Students do classwork using enhanced version Pythy, web IDE Python and Jython, that captures students' work displays it around the room. We leverage Microsoft RoomAlive Toolkit construct room-scale pairs projectors depth cameras. system "pins" walls, where teachers students can see discuss work. hope by seeing each other's...
Laptop webcams can be covertly activated by malware and law enforcement agencies. Consequently, 59% percent of Americans manually cover their to avoid being surveilled. However, manual covers are prone human error---through a survey with 200 users, we found that 61.5% occasionally forget re-attach after using webcam. To address this problem, developed Smart Webcam Cover (SWC): thin film the webcam (PDLC-overlay) default until user uncovers webcam, automatically when not in use. Through...
A major cost, inconvenience, and source of failure for adding sensors electronic accessories to automobiles is wiring the systems into car's power supply. We propose an alternative approach, computer-proximal energy harvesting, which harvests locally, so not needed. In this article, we provide overview principles empirical evaluations harvesting in around automobile exploring role that wind, light, vibration, heat can play process. To better explore these concepts, demonstrate two...
By using neural networks, Beijing environment quality is forecasted, and connection number total partial of the set pair analysis (SPA) are obtained. Principal factors development trend sequenced based on absolute relative error between sample value i x predominant y so as to up a mathematics model forecasting quality. The instance shows that it's scientific practicable method system with higher accuracy.
Utilizing the artificial neural networks and grey set pare analysis(GSPA), this paper presents a model forecasting infection rate of computer viruses based on percentage four major consequences virus infection: browser hijack, account theft, illegal remote control as well system or network failure. The correlation between other factors is analyzed sorted by GSPA.
By using neural networks, Beijing's water supplied and consumed is forecasted, connection number total partial of the set pair analysis (SPA) are obtained. Principal factors development trend sequenced based on absolute relative error between sample value x <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</sub> predominant y so as to up a mathematics model forecasting consumed. The instance shows that it's scientific practicable method system...
Based on the artificial neural networks and grey correlation analyze, this paper presents a model forecasting infection rate of computer viruses according to number vulnerabilities, percentage infecting via web browsing downloading portable storage media. The prediction is realized precisely by MATLAB. three factors are analyzed sorted which reveals that on-line has most significant influence viruses.