Exploring new effective treatments for depression holds important social significance and clinical value. Low-intensity focused ultrasound stimulation (LIFUS) has been proven to have significant neuroprotective effect...
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While mechanical buttons are ubiquitous, their haptic response is fxed, reducing interface fexibility and precluding an avenue for rich feedback. Here, we describe a new type of dynamic button, or DynaButton, which ca...
While mechanical buttons are ubiquitous, their haptic response is fxed, reducing interface fexibility and precluding an avenue for rich feedback. Here, we describe a new type of dynamic button, or DynaButton, which can vary its visual and haptic response via rapid shape change. To achieve this, we made several advances in the performance of embedded electroosmotic pumps: we increased core pump speed >300% over prior work, demonstrated closed-loop control, and investigated analog output that varies in response to pressure and force inputs. We validated our system with a physical characterization and performed a series of stimuli recognition studies to validate the expressivity and discriminability of three regimes of button interaction.
Early diagnosis of pediatric adenoidal hypertrophy is crucial for timely identification of respiratory obstructions, thereby preventing declines in sleep quality that can lead to impaired growth, development, and cogn...
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Separate acquisition of multiple modalities in medical imaging is time-consuming, costly and increases unnecessary irradiation to patients. This paper proposes a novel deep learning method, contrastive learning-based ...
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With the increasing demand for robust security in the rapidly expanding metaverse within 6 G networks, advanced intrusion detection systems (IDS) are becoming essential. This paper introduces a novel hybrid intrusion ...
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Many companies now prioritize Environment, Society, and Governance (ESG) and financial performance due to concerns about climate change. We created GPT4ESG, a quick method to analyze a company's ESG investment and...
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The use of virtual and augmented reality devices is increasing, but these sensor-rich devices pose risks to privacy. The ability to track a user’s motion and infer the identity or characteristics of the user poses a ...
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ISBN:
(数字)9798350394665
ISBN:
(纸本)9798350394672
The use of virtual and augmented reality devices is increasing, but these sensor-rich devices pose risks to privacy. The ability to track a user’s motion and infer the identity or characteristics of the user poses a privacy risk that has received significant attention. Existing deep-network-based defenses against this risk, however, require significant amounts of training data and have not yet been shown to generalize beyond specific applications. In this work, we study the effect of signal degradation on identifiability, specifically through added noise, reduced framerate, reduced precision, and reduced dimensionality of the data. Our experiment shows that state-of-the-art identification attacks still achieve near-perfect accuracy for each of these degradations. This negative result demonstrates the difficulty of anonymizing this motion data and gives some justification to the existing data- and compute-intensive deep-network based methods.
As financial products diversify and market structures become more complex, promoting financial education has become increasingly important. Given that the foundation of financial literacy should be established from ch...
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Conventional vision-based systems,such as cameras,have demonstrated their enormous versatility in sensing human activities and developing interactive ***,these systems have long been criticized for incurring privacy,p...
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Conventional vision-based systems,such as cameras,have demonstrated their enormous versatility in sensing human activities and developing interactive ***,these systems have long been criticized for incurring privacy,power,and latency issues due to their underlying structure of pixel-wise analog signal acquisition,computation,and *** this research,we overcome these limitations by introducing in-sensor analog computation through the distribution of interconnected photodetectors in space,having a weighted responsivity,to create what we call a computational *** photodetectors can be used to extract mid-level vision features as a single continuous analog signal measured via a two-pin *** develop computational photodetectors using thin and flexible low-noise organic photodiode arrays coupled with a self-powered wireless system to demonstrate a set of designs that capture position,orientation,direction,speed,and identification information,in a range of applications from explicit interactions on everyday surfaces to implicit activity detection.
Functional Near-Infrared Spectroscopy (fNIRS) is a technique for measuring blood flow in the brain, specifically focusing on changes in the frontal lobe. It has found valuable applications in psychiatry, particularly ...
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