A5101486879- Digital Mental Health Interventions
- Environmental Justice and Health Disparities
- Income, Poverty, and Inequality
- Emotion and Mood Recognition
- Heart Rate Variability and Autonomic Control
- Global Health Care Issues
- Non-Invasive Vital Sign Monitoring
- Mental Health Research Topics
- Advanced Memory and Neural Computing
- EEG and Brain-Computer Interfaces
- Video Surveillance and Tracking Methods
- Urban, Neighborhood, and Segregation Studies
- Environmental law and policy
- Health disparities and outcomes
- Poverty, Education, and Child Welfare
- Child Nutrition and Water Access
- Anomaly Detection Techniques and Applications
- Healthcare Technology and Patient Monitoring
- Semiconductor materials and devices
- Psychological Well-being and Life Satisfaction
- Innovative Human-Technology Interaction
- Social and Economic Development in India
- Speech and Audio Processing
- Fiscal Policy and Economic Growth
- Neural Networks and Reservoir Computing
University of California, San Diego
2023-2024
Chittagong University of Engineering & Technology
2024
Intel (United States)
2003-2023
University of Arizona
2010-2023
Bangabandhu Sheikh Mujib Medical University
2023
University of Massachusetts Amherst
2019-2022
Amherst College
2020-2022
Agricultural & Applied Economics Association
2007-2022
Gas Technology Institute
2022
University of Petroleum
2022
In this paper, we present DoppleSleep -- a contactless sleep sensing system that continuously and unobtrusively tracks quality using commercial off-the-shelf radar modules. provides single sensor solution to track sleep-related physical physiological variables including coarse body movements subtle fine-grained chest, heart due breathing heartbeat. By integrating vital signals movement sensing, achieves 89.6% recall with Sleep vs. Wake classification 80.2% REM Non-REM compared EEG-based...
In this paper, we propose BodyBeat, a novel mobile sensing system for capturing and recognizing diverse range of non-speech body sounds in real-life scenarios. Non-speech sounds, such as food intake, breath, laughter, cough contain invaluable information about our dietary behavior, respiratory physiology, affect. The BodyBeat consists custom-built piezoelectric microphone distributed computational framework that utilizes an ARM microcontroller Android smartphone. is designed to capture...
This paper presents key features of MRAM-based non-volatile memory embedded into Intel 22FFL technology. is a high performance, ultra low power FinFET technology for mobile and RF applications with extensive voltage analog support, level design flexibility at cost <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> . Embedded NVM presented here achieves 200°C 10-year retention capability combined with>10...
Identifying episodes of significant stress is a challenging problem with implications for personal health and interface adaptation. We present the results study comparing multiple modalities minimally intrusive sensing in real-world environments, collected from participants as they ca
Thermal images are mainly used to detect the presence of people at night or in bad lighting conditions, but perform poorly daytime. To solve this problem, most state-of-the-art techniques employ a fusion network that uses features from paired thermal and color images. Instead, we propose augment with their saliency maps, serve as an attention mechanism for pedestrian detector especially during We investigate how such approach results improved performance detection using only images,...
We developed a contactless syndromic surveillance platform FluSense that aims to expand the current paradigm of influenza-like illness (ILI) by capturing crowd-level bio-clinical signals directly related physical symptoms ILI from hospital waiting areas in an unobtrusive and privacy-sensitive manner. consists novel edge-computing sensor system, models data processing pipelines track crowd behaviors influenza-related indicators, such as coughs, predict daily laboratory-confirmed influenza...
In this paper, we discuss array-level MTJ process, performance, and reliability requirements for STT-MRAM operation in an L4 Cache application. We demonstrate 2 MB arrays of scaled-size devices capable meeting specifications across all proposed temperatures operation. The technology achieves ECC-correctable bit fail rates a 20 ns write time, 4 read endurance 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">12</sup> cycles, retention 1 second...
Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use monitor mitigate effects COVID-19 pandemic. Methods: A Task Force assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, digital contact tracing technologies. Its members collected discussed available information summarized it a series reports. Results: identified that could be deployed response pandemic would likely...
Physically Unclonable Functions (PUFs) have emerged as a security block with the potential to generate chip-specific identifiers and cryptographic keys. However it has been shown that stability of these keys is heavily impacted by aging environmental variations. Previous techniques mostly focused on improving PUF robustness against supply noise temperature but largely neglected. In this paper, we propose new resistant design for popular ring-oscillator (RO)-PUF. Simulation results...
Various wearable sensors capturing body vibration, jaw movement, hand gesture, etc., have shown promise in detecting when one is currently eating. However, based on existing literature and user surveys conducted this study, we argue that a Just-in-Time eating intervention, triggered upon current event, sub-optimal. An intervention at "About-to-Eat" moments could provide users with further opportunity to adopt better healthier behavior. In work, present sensing framework predicts the "Time...
This paper presents a high-yielding backside power delivery (BPD) technology, PowerVia, implemented on Intel 4 finFET process. PowerVia more directly integrates to the transistor as compared published buried rail schemes, enabling additional wiring resources front side for signal routing. A fabricated E-core with $\gt 90$% cell utilization showed 30$% platform voltage droop improvement and 6% frequency benefit similar design without PowerVia. Transistor performance, reliability, fault...
The ability to unobtrusively and continuously monitor one's facial expressions has implications for a variety of application domains ranging from affective computing health-care the entertainment industry. standard Facial Action Coding System (FACS) along with camera based methods have been shown provide objective indicators expressions; however, these approaches can also be fairly limited mobile applications due privacy concerns awkward positioning camera. To bridge this gap, W!NCE...
Technology-mediated dance experiences, as a medium of entertainment, are key element in both traditional and virtual reality-based gaming platforms. These platforms predominantly depend on unobtrusive continuous human pose estimation means capturing input. Current solutions primarily employ RGB or RGB-Depth cameras for applications; however, the former is hindered by low-light conditions due to motion blur reduced sensitivity, while latter exhibits excessive power consumption, diminished...
In this paper, we propose Nutrilyzer, a novel mobile sensing system for characterizing the nutrients and detecting adulterants in liquid food with photoacoustic effect. By listening to sound of intensity modulated light or electromagnetic wave different wavelengths, our captures unique spectra produced by transmitted scattered while passing through various food. As foods chemical compositions yield uniquely spectral signatures, Nutrilyzer's signal processing machine learning algorithm learn...
A personalized emotion recognition system aims to tune the model recognize expressive behaviors of a targeted person. Such can play an important role in various domains including call center and health care applications. Adapting any general for particular individual requires speech samples prior knowledge about their emotional content. These assumptions constrain use these techniques many real scenarios which no annotated data is available train or adapt models. To address this problem,...
This study examines the evolution of public health expenditure in India. A panel data model is used to explain main factors which affect period 1971 1991. The empirical results show that key determinants explanation regional are real state per capita income and literacy rate, while other structural demand variables such as proportion population over age 60, primary care center doctor statistically insignificant factors. An elasticity 0.47 implies not a luxury good.