Team creating system to monitor vital signs, alert patients

Team creating system to monitor vital signs, alert patients

A Mizzou Engineering team is developing a system that will monitor vital signs and may someday be able to alert people when they need to seek medical care. The system includes a finger clip with two sensors that use optical light to penetrate blood vessels, said Jian Lin, associate professor and William R. Kimel Faculty [...]
Custom finger clip offers a new way to measure blood pressure, other vitals

Custom finger clip offers a new way to measure blood pressure, other vitals

Researchers at the University of Missouri are customizing a commercial finger clip device to provide a rapid, noninvasive way for measuring and continually monitoring blood pressure. By Eric Stann |  MU News Bureau Monitoring a person’s blood pressure on a regular basis can help health care professionals with early detection of various health problems such [...]
Approximate computing remains vulnerable to attacks; Mizzou Engineers to present findings at IEEE DATE conference

Approximate computing remains vulnerable to attacks; Mizzou Engineers to present findings at IEEE DATE conference

Hoque Companies relying on faster, less precise computing to gain energy efficiency still need to be cautious against cyberattacks despite a recent study that indicated otherwise, Mizzou Engineers have found. At the heart of the research is approximate computing, which is known for its effectiveness in improvising the energy efficiency of deep neural network (DNN) [...]
Team designs model to automatically detect shadows in aerial images

Team designs model to automatically detect shadows in aerial images

Examples of automatically labeling shadows in an image. A Mizzou Engineering team has designed a physics-based model to automatically detect shadows in large-scale aerial images — a development that could lead to improvements in self-driving cars, drones and autonomous robotics. The research team published and presented their findings at the International Conference on Computer Vision [...]
Team develops method to automatically detect, identify trees

Team develops method to automatically detect, identify trees

Images showing preliminary results of a Mizzou Engineering team’s methods to automatically identify trees. The green rectangles are predictions of trees generated by a deep neural network predictor, while the red dots are the ground truths of trees provided to the group by Ameren. Mizzou Engineering students are developing innovative methods and software to automatically [...]
Researchers use simulated environments to train AI

Researchers use simulated environments to train AI

Associate Professor Derek Anderson, PhD candidate Brendan Alvey and Assistant Research Professor Andrew Buck discuss the simulated data they're using to train artificial intelligence (AI). A Mizzou Engineering team is hoping to lead artificial intelligence (AI) into a new era by forgoing real-world data in favor of simulated environments. “State-of-the-art AI is based on a [...]
Mizzou Engineering hosts 50th AIPR Workshop

Mizzou Engineering hosts 50th AIPR Workshop

Filiz Bunyak and Kannappan Palaniappan with the Electrical Engineering and Computer Science Department at Mizzou and Stefan Jaeger from the National Institutes of Health. When it comes to medical imaging, a picture is worth a thousand words — as long as you have the ability to analyze it accurately. One of the goals of this [...]
Civil engineers use artificial intelligence to classify pavement cracks

Civil engineers use artificial intelligence to classify pavement cracks

Researchers are using artificial intelligence to classify various types of pavement cracks, such as these examples from Missouri roadways. Traffic engineers could have a smarter way of identifying asphalt problems and prioritizing pavement projects, thanks to cutting-edge research from Mizzou Engineering. The team is training a machine to automatically classify types of cracks and potholes [...]
Mizzou Engineering team takes third at Guess the Age competition

Mizzou Engineering team takes third at Guess the Age competition

In one difficult example, the CIVALab AI software was able to estimate the age of each person correctly without error. Mizzou Engineers have developed a two-stage computational model that can accurately predict someone’s age based off a single facial image. The system earned the team third place at the Guess the Age contest, part of [...]
Student team devises way to control robotic arm using hand gestures

Student team devises way to control robotic arm using hand gestures

Figure (a) Flow of EMG signal from participant to robotic arm. Figure (b) Hand motions used and the corresponding motion of the robotic arm. A Mizzou Engineering team has devised a way to control a robot just by moving your hands. What makes the work especially unique is that researchers only used one pair of [...]

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