5 citations · 5 across the 3 of their papers we have counts for
5 papers
Memento: Communicating Sensor Observations Through Shared Memory
Chae Young Lee, Lan Mei, Yifan Yang +2
Wireless sensing systems often transmit highly redundant observations, making communication a bottleneck for low-power devices. We present Memento, a communication system that expl…
"Is Low Power Enough?" Rethinking Energy Efficiency in High-Fidelity Sensing
Chae Young Lee, Lan Mei, Jesse Fonseca +1
For two decades, long-lived sensor nodes have been built from the lowest-power parts, because their scalar readings take only milliseconds to acquire and send. Scientists now want…
Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces
Lan Mei, Cristian Cioflan, Thorir Mar Ingolfsson +4
Brain-machine interfaces (BMIs) are expanding beyond clinical settings thanks to advances in hardware and algorithms. However, they still face challenges in user-friendliness and s…
An Ultra-Low Power Wearable BMI System with Continual Learning Capabilities
Lan Mei, Thorir Mar Ingolfsson, Cristian Cioflan +4
Driven by the progress in efficient embedded processing, there is an accelerating trend toward running machine learning models directly on wearable Brain-Machine Interfaces (BMIs)…
Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology
Xiaying Wang, Lan Mei, Victor Kartsch +2
Brain-machine interfaces (BMIs) have emerged as a transformative force in assistive technologies, empowering individuals with motor impairments by enabling device control and facil…