A5039017660- Gaze Tracking and Assistive Technology
- Advanced Sensor and Energy Harvesting Materials
- EEG and Brain-Computer Interfaces
- Non-Invasive Vital Sign Monitoring
- Emotion and Mood Recognition
- Ergonomics and Musculoskeletal Disorders
- Obstructive Sleep Apnea Research
- Sleep and Work-Related Fatigue
- Context-Aware Activity Recognition Systems
- Face Recognition and Perception
- Sleep and Wakefulness Research
- Gas Sensing Nanomaterials and Sensors
- RFID technology advancements
- Advanced Chemical Sensor Technologies
University of Massachusetts Amherst
2017-2022
Amherst College
2020-2021
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...
The ability to monitor eye closures and blink patterns has long been known enable accurate assessment of fatigue drowsiness in individuals. Many measures the are be correlated with including coarse-grained like rate blinks as well fine-grained duration extent closures. Despite a plethora research validating these measures, we lack wearable devices that can continually reliably them natural environment. In this work, present low-power system, iLid, sense such Percentage Eye Closures (PERCLOS)...
Clinical-grade wearable sleep monitoring is a challenging problem since it requires concurrently brain activity, eye movement, muscle cardio-respiratory features, and gross body movements. This multiple sensors to be worn at different locations as well uncomfortable adhesives discrete electronic components placed on the head. As result, existing wearables either compromise comfort or accuracy in tracking variables. We propose PhyMask, an all-textile solution that practical comfortable for...
Wearable sensors allow for portable, long-term health monitoring in natural environments. Recently, there has been an increase demand technology that can reliably monitor respiration, which be indicative of cardiac diseases, asthma, and infection by respiratory viruses. However, to date, the most reliable respiration system involves a tightly worn chest belt is not conducive longitudinal monitoring. Herein, we report accurate effected using fabric-based humidity sensor mounted within face...
Longitudinal tracking of sleep metrics is important for detecting and managing various diseases, spanning cardiorespiratory disorders to dementia. However, at present, monitoring primarily occurs in specialized medical facilities that are not conducive long-term studies. In-home solutions either compromise user comfort or signal accuracy variables have yet provided reliable longitudinal data. Here, we survey the current state trackers highlight key shortcomings provide guiding principles...
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...
Recent years have seen exciting developments in the use of RFID tags as sensors to enable a range applications including home automation, health and wellness, augmented reality. However, widespread RFIDs requires significant instrumentation deploy tethered readers, which limits usability mobile settings. Our solution is WearID, low-power wrist-worn backscatter reader that bridges this gap allows ubiquitous sensing interaction with tagged objects. end-to-end design includes innovations...
The ability to monitor eye closures and blink patterns has long been known enable accurate assessment of fatigue drowsiness in individuals. Many measures the are be correlated with including coarse-grained like rate blinks as well fine-grained duration extent closures. Despite a plethora research validating these measures, we lack wearable devices that can continually reliably them natural environment. In this work, present low-power system, iLid, sense such Percentage Eye Closures (PERCLOS)...
Clinical-grade wearable sleep monitoring is a challenging problem since it requires concurrently brain activity, eye movement, muscle cardio-respiratory features and gross body movements. This multiple sensors to be worn at different locations as well uncomfortable adhesives discrete electronic components placed on the head. As result, existing wearables either compromise comfort or accuracy in tracking variables. We propose PhyMask, an all-textile solution that practical comfortable for...