Deepak Ganesan
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View article: Tandem: At-Home Behavior Assessment Using Multimodal Signals from the Parent-Child Dyad
Tandem: At-Home Behavior Assessment Using Multimodal Signals from the Parent-Child Dyad Open
The quality of parent-child interactions at an early age has been linked to children's social-emotional development, executive function, and risk for behavior problems. As such, parent-child interactions in naturalistic settings could pres…
View article: Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems Open
This paper presents ASPEN, a novel energy-aware technique for neuromorphic systems that could unleash the future of intelligent, always-on, ultra-low-power, and low-burden wearables. Our main research objectives are to explore the feasibil…
View article: Communication-Efficient Multi-Device Inference Acceleration for Transformer Models
Communication-Efficient Multi-Device Inference Acceleration for Transformer Models Open
Transformer models power many AI applications but suffer from high inference latency, limiting their use in real-time settings. Multi-device inference can reduce latency by parallelizing computation. Yet, existing methods require high inte…
View article: FabToys: Large Arrays of Fabric-Based Pressure Sensors in Plush Toys to Detect Fine-Grained Interaction
FabToys: Large Arrays of Fabric-Based Pressure Sensors in Plush Toys to Detect Fine-Grained Interaction Open
Recent advances in fabric-based sensors have made it possible to densely instrument textile surfaces on smart toys without changing their look and feel. While such surfaces can be instrumented with traditional sensors, rigid elements chang…
View article: Playlogue: Dataset and Benchmarks for Analyzing Adult-Child Conversations During Play
Playlogue: Dataset and Benchmarks for Analyzing Adult-Child Conversations During Play Open
There has been growing interest in developing ubiquitous technologies to analyze adult-child speech in naturalistic settings such as free play in order to support children's social and academic development, language acquisition, and parent…
View article: Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models
Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models Open
Vision Language Models (VLMs) are central to Visual Question Answering (VQA) systems and are typically deployed in the cloud due to their high computational demands. However, this cloud-only approach underutilizes edge computational resour…
View article: WildFit: Autonomous In-situ Model Adaptation for Resource-Constrained IoT Systems
WildFit: Autonomous In-situ Model Adaptation for Resource-Constrained IoT Systems Open
Resource-constrained IoT devices increasingly rely on deep learning models, however, these models experience significant accuracy drops due to domain shifts when encountering variations in lighting, weather, and seasonal conditions. While …
View article: CACTUS: Dynamically Switchable Context-aware micro-Classifiers for Efficient IoT Inference
CACTUS: Dynamically Switchable Context-aware micro-Classifiers for Efficient IoT Inference Open
While existing strategies to execute deep learning-based classification on low-power platforms assume the models are trained on all classes of interest, this paper posits that adopting context-awareness i.e. narrowing down a classification…
View article: Multi-stakeholder Perspectives on Mental Health Screening Tools for Children
Multi-stakeholder Perspectives on Mental Health Screening Tools for Children Open
Pediatric mental health is a growing concern around the world, affecting children's social-emotional development and increasing the risk of poor behavioral outcomes later in life. However, obtaining a behavioral diagnosis in early childhoo…
View article: Artificial intelligence and technology collaboratories: Empowering innovation in <scp>AI</scp> + <scp>AgeTech</scp>
Artificial intelligence and technology collaboratories: Empowering innovation in <span>AI</span> + <span>AgeTech</span> Open
Launched in September 2021, the Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research program is the newest of the seven centers programs funded by the National Institute on Aging (NIA), a part of the National In…
View article: GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors Open
Constantly locating moving objects, i.e., geospatial tracking, is essential for autonomous building infrastructure. Accurate and robust geospatial tracking often leverages multimodal sensor fusion algorithms, which require large datasets w…
View article: Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care
Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care Open
This perspective outlines the Artificial Intelligence and Technology Collaboratories (AITC) at Johns Hopkins University, University of Pennsylvania, and University of Massachusetts, highlighting their roles in developing AI‐based technolog…
View article: Wall Matters
Wall Matters Open
Wireless sensing has demonstrated its potential of utilizing radio frequency (RF) signals to sense individuals and objects. Among different wireless signals, LoRa signal is particularly promising for through-wall sensing owing to its stron…
View article: Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study
Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study Open
Background Respiratory rate is a crucial indicator of disease severity yet is the most neglected vital sign. Subtle changes in respiratory rate may be the first sign of clinical deterioration in a variety of disease states. Current methods…
View article: Efficient IoT Inference via Context-Awareness
Efficient IoT Inference via Context-Awareness Open
While existing strategies to execute deep learning-based classification on low-power platforms assume the models are trained on all classes of interest, this paper posits that adopting context-awareness i.e. narrowing down a classification…
View article: Heteroskedastic Geospatial Tracking with Distributed Camera Networks
Heteroskedastic Geospatial Tracking with Distributed Camera Networks Open
Visual object tracking has seen significant progress in recent years. However, the vast majority of this work focuses on tracking objects within the image plane of a single camera and ignores the uncertainty associated with predicted objec…
View article: Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings
Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings Open
Efficient and accurate detection of subtle motion generated from small objects in noisy environments, as needed for vital sign monitoring, is challenging, but can be substantially improved with magnification. We developed a complex Gabor f…
View article: Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study (Preprint)
Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study (Preprint) Open
BACKGROUND Respiratory rate is a crucial indicator of disease severity yet is the most neglected vital sign. Subtle changes in respiratory rate may be the first sign of clinical deterioration in a variety of disease states. Current method…
View article: Embracing LoRa Sensing with Device Mobility
Embracing LoRa Sensing with Device Mobility Open
Wireless sensing is an emerging technology that can obtain rich context information of human targets in a contact-free manner. Though promising, a missing component of current wireless sensing is sensing under device motions. In this work,…
View article: Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform
Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform Open
Sensing and data collection platforms are the crucial components of high-quality datasets that can fuel advancements in research. However, such platforms usually are ad-hoc designs and are limited in sensor modalities. In this paper, we di…
View article: FabToys
FabToys Open
Recent advances in fabric-based sensors have made it possible to densely instrument textile surfaces on smart toys without changing their look and feel. While such surfaces can be instrumented with traditional sensors, rigid elements chang…
View article: Perspective—Longitudinal Sleep Monitoring for All: Payoffs, Challenges and Outlook
Perspective—Longitudinal Sleep Monitoring for All: Payoffs, Challenges and Outlook Open
Longitudinal tracking of sleep metrics is important for detecting and managing various diseases, spanning cardiorespiratory disorders to dementia. However, at present, sleep monitoring primarily occurs in specialized medical facilities tha…
View article: Enabling Longitudinal Respiration Monitoring Using Vapor-Coated Conducting Textiles
Enabling Longitudinal Respiration Monitoring Using Vapor-Coated Conducting Textiles Open
Wearable sensors allow for portable, long-term health monitoring in natural environments. Recently, there has been an increase in demand for technology that can reliably monitor respiration, which can be indicative of cardiac diseases, ast…
View article: OpiTrack
OpiTrack Open
Opioid use disorder is a medical condition with major social and economic consequences. While ubiquitous physiological sensing technologies have been widely adopted and extensively used to monitor day-to-day activities and deliver targeted…
View article: PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask
PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask Open
Clinical-grade wearable sleep monitoring is a challenging problem since it requires concurrently monitoring brain activity, eye movement, muscle activity, cardio-respiratory features and gross body movements. This requires multiple sensors…
View article: Effect of Sleep and Biobehavioral Patterns on Multidimensional Cognitive Performance: Longitudinal, In-the-Wild Study
Effect of Sleep and Biobehavioral Patterns on Multidimensional Cognitive Performance: Longitudinal, In-the-Wild Study Open
Background With nearly 20% of the US adult population using fitness trackers, there is an increasing focus on how physiological data from these devices can provide actionable insights about workplace performance. However, in-the-wild studi…