Challenges and Trends in Multimodal Fall Detection for Healthcare
Springer International Publishing
Chapter title |
Detecting Human Activities Based on a Multimodal Sensor Data Set Using a Bidirectional Long Short-Term Memory Model: A Case Study
|
---|---|
Chapter number | 2 |
Book title |
Challenges and Trends in Multimodal Fall Detection for Healthcare
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-38748-8_2 |
Book ISBNs |
978-3-03-038747-1, 978-3-03-038748-8
|
Authors |
Silvano Ramos de Assis Neto, Guto Leoni Santos, Elisson da Silva Rocha, Malika Bendechache, Pierangelo Rosati, Theo Lynn, Patricia Takako Endo, de Assis Neto, Silvano Ramos, Santos, Guto Leoni, da Silva Rocha, Elisson, Bendechache, Malika, Rosati, Pierangelo, Lynn, Theo, Takako Endo, Patricia |
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 17% |
Researcher | 2 | 17% |
Lecturer | 1 | 8% |
Student > Master | 1 | 8% |
Lecturer > Senior Lecturer | 1 | 8% |
Other | 0 | 0% |
Unknown | 5 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 17% |
Business, Management and Accounting | 1 | 8% |
Chemical Engineering | 1 | 8% |
Psychology | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 6 | 50% |