التفاصيل البيبلوغرافية
| العنوان: |
Teach Your WiFi-Device: Recognise Simultaneous Activities and Gestures from Time-Domain RF-Features |
| المؤلفون: |
Stephan Sigg, Shuyu Shi, Yusheng Ji |
| المجموعة: |
RePEc (Research Papers in Economics) |
| الوصف: |
The authors consider two untackled problems in RF-based activity recognition: the distinction of simultaneously conducted activities of individuals and the recognition of gestures from purely time-domain-based features. Recognition is based on a single antenna system. This is important for the application in end-user devices which are usually single-antenna systems and have seldom access to more sophisticated, e.g. frequency-based features. In case studies with software defined radio nodes utilised in an active, device-free activity recognition (DFAR) system, the authors observe a good recognition accuracy for the detection of multiple simultaneously conducted activities with two and more receive devices. Four gestures and two baseline situations are distinguished with good accuracy in a second case study. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| العلاقة: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijaci.2014010102Test |
| DOI: |
10.4018/ijaci.2014010102 |
| رقم الانضمام: |
edsbas.1A4EF49D |
| قاعدة البيانات: |
BASE |
