A5100354782- Tactile and Sensory Interactions
- Interactive and Immersive Displays
- Virtual Reality Applications and Impacts
- Hand Gesture Recognition Systems
- Advanced Sensor and Energy Harvesting Materials
- Gaze Tracking and Assistive Technology
- Augmented Reality Applications
- Context-Aware Activity Recognition Systems
- Indoor and Outdoor Localization Technologies
- Human Pose and Action Recognition
- Peer-to-Peer Network Technologies
- Caching and Content Delivery
- Assistive Technology in Communication and Mobility
- Innovative Energy Harvesting Technologies
- Anatomy and Medical Technology
- Spinal Cord Injury Research
- Robotics and Sensor-Based Localization
- Service-Oriented Architecture and Web Services
- Non-Invasive Vital Sign Monitoring
- Cancer Cells and Metastasis
- Image and Video Stabilization
- Digital Mental Health Interventions
- Infection Control and Ventilation
- Robotics and Automated Systems
- Advanced Radiotherapy Techniques
University of California, Los Angeles
2014-2024
Guangdong University of Technology
2024
UCLA Health
2022-2023
University of California System
2023
University of Electronic Science and Technology of China
2022
University of British Columbia
2020
Carnegie Mellon University
2015-2020
Luoyang Institute of Science and Technology
2016
First Affiliated Hospital of Jiamusi University
2015
California NanoSystems Institute
2014
We present Tomo, a wearable, low-cost system using Electrical Impedance Tomography (EIT) to recover the interior impedance geometry of user's arm. This is achieved by measuring cross-sectional impedances between all pairs eight electrodes resting on skin. Our approach sufficiently compact and low-powered that we integrated technology into prototype wrist- armband, which can monitor classify gestures in real-time. conducted user study evaluated two gesture sets, one focused gross hand another...
Unlike tumor biopsies that can be constrained by problems such as sampling bias, circulating cells (CTCs) are regarded the "liquid biopsy" of tumor, providing convenient access to all disease sites, including primary and fatal metastases. Although enumerating CTCs is prognostic significance in solid tumors, it conceivable performing molecular functional analyses on will reveal much significant insight into biology guide proper therapeutic intervention. We developed Thermoresponsive...
Augmented reality (AR) and virtual (VR) technologies create exciting new opportunities for people to interact with computing resources information. Less is the need holding hand controllers, which limits applications that demand expressive, readily available interactions. Prior research investigated freehand AR/VR input by transforming user's body into an interaction medium. In contrast previous work has users' hands grasp objects, we propose a technique lets become objects imitating...
Often, emotional disorders are overlooked due to their lack of awareness, resulting in potential mental issues. Recent advances sensing and inference technology provide a viable path wearable facial-expression-based emotion recognition. However, most prior work has explored only laboratory settings few platforms geared towards end-users everyday lives or personalized suggestions promote self-regulation. We present EmoGlass, an end-to-end platform that consists detection glasses accompanying...
Smart and responsive environments rely on the ability to detect physical events, such as appliance use human activities. Currently, sense these types of one must either upgrade "smart" appliances, or attach aftermarket sensors existing objects. These approaches can be expensive, intrusive inflexible. In this work, we present Vibrosight, a new approach activities across entire rooms using long-range laser vibrometry. Unlike microphone, our vibrations at specific point, making it robust...
The COVID-19 pandemic has dramatically increased the use of face masks across world. Aside from physical distancing, they are among most effective protection for healthcare workers and general population. Face passive devices, however, cannot alert user in case improper fit or mask degradation. Additionally, optimally positioned to give unique insight into some personal health metrics. Recognizing this limitation opportunity, we present FaceBit: an open-source research platform smart...
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...
Extended reality (XR) has the potential for seamless user interface (UI) transitions across people, objects, and environments. However, design space, applications, common practices of 3D UI remain underexplored. To address this gap, we conducted a need-finding study with 11 participants, identifying distilling taxonomy based on three types placements — affixed to static, dynamic, or self entities. We further surveyed 113 commercial applications understand mobility control, where only 6.2%...
Ground surfaces are often carefully designed and engineered with various textures to fit the functionalities of human environments thus could contain rich context information for smart wearables. surface detection power a wide array applications including activity recognition, mobile health, context-aware computing, potentially provide an additional channel many existing kinesiology approaches such as gait analysis. To facilitate ground surfaces, we present LaserShoes,...
Nod and shake of one's head are intuitive universal gestures in communication. As smartwatches become increasingly intelligent through advances user activity sensing technologies, many use scenarios demand quick responses from users confirmation dialogs, to accept or dismiss proposed actions. Such actions include making emergency calls, taking service recommendations, starting stopping exercise timers. Head these could be preferable touch interactions for being hands-free easy perform. We...
There is increasing interest in deploying building-scale, general-purpose, and high-fidelity sensing to drive emerging smart building applications. However, the real-world deployment of such systems challenging due lack system architectural support. Most existing are purpose-built, consisting hardware that senses a limited set environmental facets, typically at low fidelity for short-term deployment. Furthermore, prior with machine learning fail scale effectively have fewer primitives, if...
Touchscreens with dynamic electrostatic friction are a com-pelling, low-latency and solid-state haptic feedback technology. Work to date has focused on minimum perceptual difference, texture rendering, fingertip-surface models. However, no work quantified how can be used improve user performance, in par-ticular targeting, where virtual objects rendered touchscreens offer tactile feedback. Our results show that targeting speed by 7.5% compared conventional flat touchscreens.
Many people with upper-body motor impairments encounter challenges while performing Activities of Daily Living (ADLs) and Instrumental (IADLs), such as toileting, grooming, managing finances, which have impacts on their Quality Life (QOL). Although existing assistive technologies enable to use different input modalities interact computing devices independently (e.g., using voice a computer), many still require Personal Care Assistants (PCAs) perform ADLs. Multimodal has the potential users...
Acquiring accessibility information about unfamiliar places in advance is essential for wheelchair users to make better decisions physical visits. Today's assessment approaches such as phone calls, photos/videos, or 360° virtual tours often fall short of providing the specific details needed individual differences. For example, they may not reveal crucial like whether legroom underneath a table spacious enough if spatial configuration an appliance convenient users. In response, we present...
Most navigation aids for visually impaired individuals require users to pay close attention and actively understand the instructions or feedback of guidance, which impose considerable cognitive loads in long-term usage. To tackle issue, this study proposes a burden-free electronic travel aid with visual impairments. Utilizing human instinctive compliance response external force, we introduce “Aerial Guide Dog”, helium balloon aerostat drone designed indoor leverages gentle tugs real time...
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...
Accurately drawing non-planar 3D curves in immersive Virtual Reality (VR) is indispensable for many precise tasks. However, due to lack of physical support, limited depth perception, and the nature curves, it challenging adjust mid-air strokes achieve high precision. Instead creating new interaction techniques, we investigated how task geometric shapes input modalities affect precision-first performance a within-subject study (n=12) focusing on target tracing commercially available VR...
Two important aspects are associated with service composition. One is to understand the needs and constraints for a new added-value composite service, otherwise it would lead an ad-hoc effort The second reflect changes of computing environment composition catch up on-demand users. This paper introduces goal-driven approach specify user requirements demands that guides composition, proposes context awareness adapt dynamically changing environment. Computing contexts, including physical...
Contouring is an indispensable step in Radiotherapy (RT) treatment planning. However, today's contouring software constrained to only work with a 2D display, which less intuitive and requires high task loads. Virtual Reality (VR) has shown great potential various specialties of healthcare health sciences education due the unique advantages natural interactions immersive spaces. VR-based radiation oncology integration also been advocated as target application, allowing providers directly...
Force sensing has been a key enabling technology for wide range of interfaces such as digitally enhanced body and world surfaces touch interactions. Additionally, force often contains rich contextual information about user activities can be used to enhance machine perception improved environment awareness. To sense force, conventional approaches rely on contact sensors made pressure-sensitive materials piezo films/discs or force-sensitive resistors. We present ForceSight, non-contact...
Motion capture technologies reconstruct human movements and have wide-ranging applications. Mainstream research on motion can be divided into vision-based methods inertial measurement unit (IMU)-based methods. The complex 3D geometrical deformations with high accuracy, but they rely expensive optical equipment suffer from the line-of-sight occlusion problem. IMU-based are lightweight hard to fine-grained deformations. In this work, we present a configurable self-sensing IMU sensor network...
Existing pose estimation models perform poorly on wheelchair users due to a lack of representation in training data. We present data synthesis pipeline address this disparity collection and subsequently improve performance for users. Our configurable generates synthetic using motion capture generation outputs simulated the Unity game engine. validated our by conducting human evaluation, investigating perceived realism, diversity, an AI evaluation set datasets from that synthesized different...
Silent speech recognition is a promising technology that decodes human without requiring audio signals, enabling private human-computer interactions. In this paper, we propose Watch Your Mouth, novel method leverages depth sensing to enable accurate silent recognition. By leveraging information, our provides unique resilience against environmental factors such as variations in lighting and device orientations, while further addressing privacy concerns by eliminating the need for sensitive...