Bashima Islam
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View article: Mindfulness Meditation and Respiration: Accelerometer-based Respiration Rate and Mindfulness Progress Estimation to Enhance App Engagement and Mindfulness Skills
Mindfulness Meditation and Respiration: Accelerometer-based Respiration Rate and Mindfulness Progress Estimation to Enhance App Engagement and Mindfulness Skills Open
Mindfulness training is widely recognized for its benefits in reducing depression, anxiety, and loneliness. With the rise of smartphone-based mindfulness apps, digital meditation has become more accessible, but sustaining long-term user en…
View article: QUADS: Quantized Distillation Framework for Efficient Speech Language Understanding
QUADS: Quantized Distillation Framework for Efficient Speech Language Understanding Open
Spoken Language Understanding (SLU) systems must balance performance and efficiency, particularly in resource-constrained environments. Existing methods apply distillation and quantization separately, leading to suboptimal compression as d…
View article: Mindfulness Meditation and Respiration: Accelerometer-Based Respiration Rate and Mindfulness Progress Estimation to Enhance App Engagement and Mindfulness Skills
Mindfulness Meditation and Respiration: Accelerometer-Based Respiration Rate and Mindfulness Progress Estimation to Enhance App Engagement and Mindfulness Skills Open
Mindfulness training is widely recognized for its benefits in reducing depression, anxiety, and loneliness. With the rise of smartphone-based mindfulness apps, digital meditation has become more accessible, but sustaining long-term user en…
View article: UnIT: Scalable Unstructured Inference-Time Pruning for MAC-efficient Neural Inference on MCUs
UnIT: Scalable Unstructured Inference-Time Pruning for MAC-efficient Neural Inference on MCUs Open
Existing pruning methods are typically applied during training or compile time and often rely on structured sparsity. While compatible with low-power microcontrollers (MCUs), structured pruning underutilizes the opportunity for fine-graine…
View article: Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators
Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators Open
Recent advancements in Ultra-Wideband (UWB) radar technology have enabled contactless, non-line-of-sight vital sign monitoring, making it a valuable tool for healthcare. However, UWB radar's ability to capture sensitive physiological data,…
View article: RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language
RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language Open
View article: Forearm Ultrasound based Gesture Recognition on Edge
Forearm Ultrasound based Gesture Recognition on Edge Open
Ultrasound imaging of the forearm has demonstrated significant potential for accurate hand gesture classification. Despite this progress, there has been limited focus on developing a stand-alone end- to-end gesture recognition system which…
View article: Editorial: Wearable computing, volume II
Editorial: Wearable computing, volume II Open
Keywords: activity recognition, machine learning, wearable technologies, motion capture, sensing, empirical studies
View article: Sound Tagging in Infant-centric Home Soundscapes
Sound Tagging in Infant-centric Home Soundscapes Open
Certain environmental noises have been associated with negative developmental outcomes for infants and young children. Though classifying or tagging sound events in a domestic environment is an active research area, previous studies focuse…
View article: LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data
LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data Open
Wearable systems can recognize activities from IMU data but often fail to explain their underlying causes or contextual significance. To address this limitation, we introduce two large-scale resources: SensorCap, comprising 35,960 IMU--cap…
View article: Missingness-resilient Video-enhanced Multimodal Disfluency Detection
Missingness-resilient Video-enhanced Multimodal Disfluency Detection Open
Most existing speech disfluency detection techniques only rely upon acoustic data. In this work, we present a practical multimodal disfluency detection approach that leverages available video data together with audio. We curate an audiovis…
View article: Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems
Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems Open
Batteryless systems frequently face power failures, requiring extra runtime buffers to maintain inference progress and leaving only a memory space for storing ultra-tiny deep neural networks (DNNs). Besides, making these models responsive …
View article: The Internet of Batteryless Things
The Internet of Batteryless Things Open
Batteryless, energy-harvesting systems could reshape the Internet of Things into a more sustainable societal infrastructure.
View article: Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations
Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations Open
Across five studies, we present the preliminary technical validation of an infant-wearable platform, LittleBeats™, that integrates electrocardiogram (ECG), inertial measurement unit (IMU), and audio sensors. Each sensor modality is validat…
View article: Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations
Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations Open
Background: The use of wearable devices has burgeoned over the past decade, including wearables for infants and young children. Typically, such devices assess a single modality, and few have undergone scientific validation. To address this…
View article: Characteristics of Mid-Bands Interference in Wireless Spectrum Sharing for Mobility Support in 6G, Wi-Fi 7, and Beyond
Characteristics of Mid-Bands Interference in Wireless Spectrum Sharing for Mobility Support in 6G, Wi-Fi 7, and Beyond Open
View article: Evaluating Users’ Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach
Evaluating Users’ Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach Open
Background Wearable devices permit the continuous, unobtrusive collection of data from children in their natural environments and can transform our understanding of child development. Although the use of wearable devices has begun to emerg…
View article: Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data
Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data Open
Infant sleep is critical to brain and behavioral development. Prior studies on infant sleep/wake classification have been largely limited to reliance on expensive and burdensome polysomnography (PSG) tests in the laboratory or wearable dev…
View article: Efficient and Safe I/O Operations for Intermittent Systems
Efficient and Safe I/O Operations for Intermittent Systems Open
This is the Digital Object Identifier (DOI) page for persistently indexing the source code and artifact of EaseIO. Their latest version can be found in the GitHub repository: https://github.com/tinysystems/easeIO
View article: Amalgamated Intermittent Computing Systems
Amalgamated Intermittent Computing Systems Open
Intermittent computing systems undergo frequent power failure, hindering\nnecessary data sample capture or timely on-device computation. These missing\nsamples and deadlines limit the potential usage of intermittent computing\nsystems in m…
View article: Panel: Sustainability in Computing
Panel: Sustainability in Computing Open
The growing use of computing and proliferation of computing devices requires a holistic focus on sustainability as the environmental impacts of computing technologies go beyond their energy consumption.Environmental impacts span all stages…
View article: LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy
LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy Open
Accurate sound source localization (SSL), such as direction-of-arrival (DoA) estimation, relies on consistent multichannel data. However, batteryless systems often suffer from missing data due to the stochastic nature of energy harvesting,…
View article: Protean
Protean Open
Battery-free and intermittently powered devices offer long lifetimes and enable deployment in new applications and environments. Unfortunately, developing sophisticated inference-capable applications is still challenging due to the lack of…
View article: Can Artificial Intelligence Detect Monkeypox from Digital Skin Images?
Can Artificial Intelligence Detect Monkeypox from Digital Skin Images? Open
An outbreak of Monkeypox has been reported in 75 countries so far, and it is spreading at a fast pace around the world. The clinical attributes of Monkeypox resemble those of Smallpox, while skin lesions and rashes of Monkeypox often resem…
View article: A Web-scraped Skin Image Database of Monkeypox, Chickenpox, Smallpox, Cowpox, and Measles
A Web-scraped Skin Image Database of Monkeypox, Chickenpox, Smallpox, Cowpox, and Measles Open
Monkeypox has emerged as a fast-spreading disease around the world and an outbreak has been reported in 75 countries so far. Although the clinical attributes of Monkeypox are similar to those of Smallpox, skin lesions and rashes caused by …
View article: Implementing a digital human resources management tool in the government health sector in Bangladesh: a policy content analysis
Implementing a digital human resources management tool in the government health sector in Bangladesh: a policy content analysis Open
View article: Scheduling Tasks on Intermittently-Powered Real-Time Systems
Scheduling Tasks on Intermittently-Powered Real-Time Systems Open
Batteryless systems go through sporadic power on and off phases due to intermittently available energy; thus, they are called intermittent systems. Unfortunately, this intermittence in power supply hinders the timely execution of tasks and…
View article: Intelligent Chargers Will Make Mobile Devices Live Longer
Intelligent Chargers Will Make Mobile Devices Live Longer Open
Editor's notes: Editor's note: Battery aging is becoming a major concern in mobile devices such as laptops or smartphones and often results in premature device replacement. This perspective article gives an overview of recent advances made…
View article: Differences in Reliability and Predictability of Harvested Energy from Battery-less Intermittently Powered Systems
Differences in Reliability and Predictability of Harvested Energy from Battery-less Intermittently Powered Systems Open
Solar and radio frequency harvesters serve as a viable alternative energy source to batteries in many cases where the battery cannot be easily replaced. However, energy harvesters do not consistently produce enough energy to sustain an ene…
View article: Zygarde: Time-Sensitive On-Device Deep Intelligence on Intermittently-Powered Systems.
Zygarde: Time-Sensitive On-Device Deep Intelligence on Intermittently-Powered Systems. Open
In this paper, we propose a time-, energy-, and accuracy-aware scheduling algorithm for intermittently powered systems that execute compressed deep learning tasks that are suitable for MCUs and are powered solely by harvested energy. The s…