Brain-Computer Interfaces (BCIs) are redefining how humans interact with machines by enabling the direct translation of neural activity into meaningful control outputs. By leveraging advances in ...
Abstract: We present a real-time human activity recognition (HAR) system using a single Inertial Measurement Unit (IMU) on an Arduino Nano 33 Bluetooth Low Energy (BLE) to classify five activities: ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal behaviors in real time and immediately interact with the animals’ brain ...
Abstract: Body activity recognition using wearable sensor technology has drawn more and more attentions over the past few decades. The complexity and variety of body activities makes it difficult to ...
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Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
How human activities negatively affect urban red squirrels' problem-solving skills and potentially their chances of thriving is revealed in newly published research from the universities of Chester ...
Robotics has come a long way in the last decade, going from rare novelties to everyday helpers doing everything from vacuuming homes to performing intricate surgeries. And if you ask Assistant ...
Pedro DiNezio receives funding from the U.S. National Science Foundation, National Oceanic and Atmospheric Administration, and WTW Research Network. Timothy Shanahan has nothing to disclose. This ...
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