In this work, a total of 322 tests were taken on young volunteers by performing 10 different falls, 6 different Activities of Daily Living (ADL) and 7 Dynamic Gait Index (DGI) tests using a custom-designed Wireless Ga...In this work, a total of 322 tests were taken on young volunteers by performing 10 different falls, 6 different Activities of Daily Living (ADL) and 7 Dynamic Gait Index (DGI) tests using a custom-designed Wireless Gait Analysis Sensor (WGAS). In order to perform automatic fall detection, we used Back Propagation Artificial Neural Network (BP-ANN) and Support Vector Machine (SVM) based on the 6 features extracted from the raw data. The WGAS, which includes a tri-axial accelerometer, 2 gyroscopes, and a MSP430 microcontroller, is worn by the subjects at either T4 (at back) or as a belt-clip in front of the waist during the various tests. The raw data is wirelessly transmitted from the WGAS to a near-by PC for real-time fall classification. The BP ANN is optimized by varying the training, testing and validation data sets and training the network with different learning schemes. SVM is optimized by using three different kernels and selecting the kernel for best classification rate. The overall accuracy of BP ANN is obtained as 98.20% with LM and RPROP training from the T4 data, while from the data taken at the belt, we achieved 98.70% with LM and SCG learning. The overall accuracy using SVM was 98.80% and 98.71% with RBF kernel from the T4 and belt position data, respectively.展开更多
The underrepresentation in top management positions has made women’s status in the hospitality industry a great concern.The study examined hospitality students’,educators’,and industry recruiters’perceptions of fa...The underrepresentation in top management positions has made women’s status in the hospitality industry a great concern.The study examined hospitality students’,educators’,and industry recruiters’perceptions of facilitators and constraints on women’s career advancement and identified if there were any significant differences among them.Data were collected through an online survey.Perceptions of gender differences of facilitators and constraints in women’s career advancement and gender issues were analyzed within the three groups(students,educators,and recruiters).Results revealed significant gender differences between male and female educators and recruiters.The findings suggested that hospitality education should make a contribution and reveal barriers and gender issues in the industry.展开更多
文摘In this work, a total of 322 tests were taken on young volunteers by performing 10 different falls, 6 different Activities of Daily Living (ADL) and 7 Dynamic Gait Index (DGI) tests using a custom-designed Wireless Gait Analysis Sensor (WGAS). In order to perform automatic fall detection, we used Back Propagation Artificial Neural Network (BP-ANN) and Support Vector Machine (SVM) based on the 6 features extracted from the raw data. The WGAS, which includes a tri-axial accelerometer, 2 gyroscopes, and a MSP430 microcontroller, is worn by the subjects at either T4 (at back) or as a belt-clip in front of the waist during the various tests. The raw data is wirelessly transmitted from the WGAS to a near-by PC for real-time fall classification. The BP ANN is optimized by varying the training, testing and validation data sets and training the network with different learning schemes. SVM is optimized by using three different kernels and selecting the kernel for best classification rate. The overall accuracy of BP ANN is obtained as 98.20% with LM and RPROP training from the T4 data, while from the data taken at the belt, we achieved 98.70% with LM and SCG learning. The overall accuracy using SVM was 98.80% and 98.71% with RBF kernel from the T4 and belt position data, respectively.
文摘The underrepresentation in top management positions has made women’s status in the hospitality industry a great concern.The study examined hospitality students’,educators’,and industry recruiters’perceptions of facilitators and constraints on women’s career advancement and identified if there were any significant differences among them.Data were collected through an online survey.Perceptions of gender differences of facilitators and constraints in women’s career advancement and gender issues were analyzed within the three groups(students,educators,and recruiters).Results revealed significant gender differences between male and female educators and recruiters.The findings suggested that hospitality education should make a contribution and reveal barriers and gender issues in the industry.
