AIMC Topic: Safety

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Hardhat-Wearing Detection Based on a Lightweight Convolutional Neural Network with Multi-Scale Features and a Top-Down Module.

Sensors (Basel, Switzerland) Mar 27, 2020
Construction sites are dangerous due to the complex interaction of workers with equipment, building materials, vehicles, etc. As a kind of protective gear, hardhats are crucial for the safety of people on construction sites. Therefore, it is necessar...
Occupational Exposure Safety Construction Industry Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Predicting real-time traffic conflicts using deep learning.

Accident; analysis and prevention Jan 10, 2020
Recently, technologies for predicting traffic conflicts in real-time have been gaining momentum due to their proactive nature of application and the growing implementation of ADAS technology in intelligent vehicles. In ADAS, machine learning classifi...
Accidents, Traffic Safety Data Collection Algorithms Reproducibility of Results Deep Learning Humans
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Robot-assisted Nipple-sparing Mastectomy with Immediate Breast Reconstruction: An Initial Experience.

Scientific reports Oct 30, 2019
Seeking smaller and indistinct incisions, physicians have attempted endoscopic breast surgery in breast cancer patients. Unfortunately, there are some limitations in the range of movement and visualization of the operation field. Potentially addressi...
Female Adult Breast Neoplasms Humans Retrospective Studies Robotics Feasibility Studies Safety Middle Aged Postoperative Complications Time Factors Nipples Mammaplasty Mastectomy, Segmental
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Detection of Participation and Training Task Difficulty Applied to the Multi-Sensor Systems of Rehabilitation Robots.

Sensors (Basel, Switzerland) Oct 28, 2019
In the process of rehabilitation training for stroke patients, the rehabilitation effect is positively affected by how much physical activity the patients take part in. Most of the signals used to measure the patients' participation are EMG signals o...
Robotics Safety Leg Man-Machine Systems Humans Stroke Rehabilitation Support Vector Machine
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Large-Truck Safety Warning System Based on Lightweight SSD Model.

Computational intelligence and neuroscience Oct 13, 2019
Transportation is an important link in the mining process, and large trucks are one of the important tools for mine transportation. Due to their large size and small driving position, large trucks have a blind spot, which is a hidden danger to the sa...
Motor Vehicles Animals Safety Humans Pattern Recognition, Automated Artificial Intelligence
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Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents' mental health.

Health & place Aug 7, 2019
Previous studies have shown that perceptions of neighborhood safety are associated with various mental health outcomes. However, scant attention has been paid to the mediating pathways by which perception of neighborhood safety affects mental health....
Stress, Psychological Urban Population Residence Characteristics Personal Satisfaction Safety Social Environment Male Exercise China Adult Mental Health Humans Machine Learning Female
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Development of pedestrian crash prediction model for a developing country using artificial neural network.

International journal of injury control and safety promotion Jul 4, 2019
Urban intersections in India constitute a significant share of pedestrian fatalities. However, model-based prediction of pedestrian fatalities is still in a nascent stage in India. This study proposes an artificial neural network (ANN) technique to d...
Pedestrians Accidents, Traffic Safety Environment Design Bayes Theorem Humans Developing Countries Neural Networks, Computer Risk Factors
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Ontology-based specification and generation of search queries for post-market surveillance.

Journal of biomedical semantics May 30, 2019
BACKGROUND: The vigilant observation of medical devices during post-market surveillance (PMS) for identifying safety-relevant incidents is a non-trivial task. A wide range of sources has to be monitored in order to integrate all accessible data about...
Safety Data Mining Equipment and Supplies Biological Ontologies Product Surveillance, Postmarketing
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Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones.

Journal of safety research May 10, 2019
INTRODUCTION: In this paper, we present machine learning techniques to analyze pedestrian and bicycle crash by developing macro-level crash prediction models.
Motor Vehicles Environment Design Models, Statistical Automobile Driving Humans Pedestrians Machine Learning Bicycling Accidents, Traffic Socioeconomic Factors Transportation Safety
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Assessment of pressure pain thresholds in collisions with collaborative robots.

PloS one May 2, 2019
In recent years, safety issues surrounding robots have increased in importance, as more robots are in close contact with humans, both in industrial fields and elsewhere. Safety standards for industrial robots operating in specific spaces have been es...
Safety Humans Pressure Young Adult Adult Body Mass Index Pain Threshold Male Robotics Middle Aged
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