etc.) are used to divide an image into two parts, foreground and background, to better segment the gestures [33]. The Otsu algorithm is a global threshold segmentation algorithm; its basic idea is to divide the pixel gray values of an image into two classes such that the sum of the var...
Many system problems that need to be optimized are often not just a technical problem. The root cause may be an unreasonable product design, redundant architecture, anti-human interaction, and deep UI. However, due to the complexity of the system and the communication cost of the team, as we...
It detected >60% of calls that were extremely faint (far away), even with high background noise. This preprocessing method is available in our AviaNZ bioacoustic analysis program and enables the user to significantly reduce the amount of subsequent processing required (whether manual or automatic...
To fully describe the high-level semantic information of the image, achieving better classification performance, we design a depth perception module (DPModule). Following this step, the channel attention guidance module (CAGM) is proposed to obtain attention feature maps for each scale, enhancing ...
(MEMS) – Modeling and DesignContext Aware Environments and ApplicationsControl Systems and Robotics in BioengineeringData Analytics and Applications of the Wearable Sensors in HealthcareData Science and Internet of Everything (IoE)Dedication to Professor Eiichi Tamiya: Over 30 Years of Outstanding ...
We plan to collect gait data among elderly patients with a flat ground fall history to build ML models. This study aimed to design a cost-effective gait-recognition system for the elderly population using different ML algorithms and identify the optimal ML method for building a computer camera ...
Speech recognition technology is evaluated on its accuracy rate, i.e. word error rate (WER), and speed. A number of factors can impact word error rate, such as pronunciation, accent, pitch, volume, and background noise. Reaching human parity – meaning an error rate on par with that of...
In 1988, Winter and Widrow introduced madaline [9], consisting of multiple adaline units, which can be trained with the backpropagation algorithm. However, madaline resulted in a complex design; additionally, its performance was mediocre with the complex data. Notably, in 1998, Lecun et al. ...
We first organize the research of high-level event recognition into several key dimensions (shown in Fig.2), based on which the paper will be structured. While the design of a real system may depend on application requirements, key components like those identified (feature extraction and recognit...
Responsive design in discussed further in Chapter 5, Section 5.8.1. Various device parameters Luke Wroblewski (2009) describes various parameters that are also applicable to the devices that we have selected and defines networked consumer device platforms as follows: ● Networked: Cross-linked devices...