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Papers

Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts

LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables

CalmReminder: A Design Probe for Parental Engagement with Children with Hyperactivity, Augmented by Real-Time Motion Sensing with a Watch

IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition

Learn AI Coding at CodeNow

Scaling Context-Aware Task Assistants that Learn from Demonstration and Adapt through Mixed-Initiative Dialogue

JoulesEye: Energy Expenditure Estimation and Respiration Sensing from Thermal Imagery While Exercising

Kirigami: Lightweight Speech Filtering for Privacy-preserving Activity Recognition using Audio

PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch

Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing Devices

EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation

MI-Poser: Human Body Pose Tracking Using Magnetic and Inertial Sensor Fusion with Metal Interference Mitigation

LemurDx: Using Unconstrained Passive Sensing for an Objective Measurement of Hyperactivity in Children with no Parent Input

PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty

VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors

uKnit: A Position-aware Reconfigurable Machine-knitted Wearable for Gestural Interaction and Passive Sensing using Electrical Impedance Tomography

IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds

FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling using an Eyeglasses-based Wearable

Pose-on-the-Go: Approximating User Pose with Smartphone Sensor Fusion and Inverse Kinematics

PrivacyMic: Utilizing Inaudible Frequencies for Privacy Preserving Daily Activity Recognition

Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition

Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts

LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables

CalmReminder: A Design Probe for Parental Engagement with Children with Hyperactivity, Augmented by Real-Time Motion Sensing with a Watch

IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition

Learn AI Coding at CodeNow

Scaling Context-Aware Task Assistants that Learn from Demonstration and Adapt through Mixed-Initiative Dialogue

JoulesEye: Energy Expenditure Estimation and Respiration Sensing from Thermal Imagery While Exercising

Kirigami: Lightweight Speech Filtering for Privacy-preserving Activity Recognition using Audio

PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch

Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing Devices

EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation

MI-Poser: Human Body Pose Tracking Using Magnetic and Inertial Sensor Fusion with Metal Interference Mitigation

LemurDx: Using Unconstrained Passive Sensing for an Objective Measurement of Hyperactivity in Children with no Parent Input

PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty

VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors

uKnit: A Position-aware Reconfigurable Machine-knitted Wearable for Gestural Interaction and Passive Sensing using Electrical Impedance Tomography

IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds

FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling using an Eyeglasses-based Wearable

Pose-on-the-Go: Approximating User Pose with Smartphone Sensor Fusion and Inverse Kinematics

PrivacyMic: Utilizing Inaudible Frequencies for Privacy Preserving Daily Activity Recognition

Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition

Papers

Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts

LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables

CalmReminder: A Design Probe for Parental Engagement with Children with Hyperactivity, Augmented by Real-Time Motion Sensing with a Watch

IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition

Learn AI Coding at CodeNow

Scaling Context-Aware Task Assistants that Learn from Demonstration and Adapt through Mixed-Initiative Dialogue

JoulesEye: Energy Expenditure Estimation and Respiration Sensing from Thermal Imagery While Exercising

Kirigami: Lightweight Speech Filtering for Privacy-preserving Activity Recognition using Audio

PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch

Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing Devices

EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation

MI-Poser: Human Body Pose Tracking Using Magnetic and Inertial Sensor Fusion with Metal Interference Mitigation

LemurDx: Using Unconstrained Passive Sensing for an Objective Measurement of Hyperactivity in Children with no Parent Input

PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty

VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors

uKnit: A Position-aware Reconfigurable Machine-knitted Wearable for Gestural Interaction and Passive Sensing using Electrical Impedance Tomography

IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds

FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling using an Eyeglasses-based Wearable

Pose-on-the-Go: Approximating User Pose with Smartphone Sensor Fusion and Inverse Kinematics

PrivacyMic: Utilizing Inaudible Frequencies for Privacy Preserving Daily Activity Recognition

Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition

Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts

LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables

CalmReminder: A Design Probe for Parental Engagement with Children with Hyperactivity, Augmented by Real-Time Motion Sensing with a Watch

IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition

Learn AI Coding at CodeNow

Scaling Context-Aware Task Assistants that Learn from Demonstration and Adapt through Mixed-Initiative Dialogue

JoulesEye: Energy Expenditure Estimation and Respiration Sensing from Thermal Imagery While Exercising

Kirigami: Lightweight Speech Filtering for Privacy-preserving Activity Recognition using Audio

PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch

Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing Devices

EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation

MI-Poser: Human Body Pose Tracking Using Magnetic and Inertial Sensor Fusion with Metal Interference Mitigation

LemurDx: Using Unconstrained Passive Sensing for an Objective Measurement of Hyperactivity in Children with no Parent Input

PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty

VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors