Hao Kong: Human Reconstruction Using mmWave Technology, Kartoniert / Broschiert
Human Reconstruction Using mmWave Technology
- Verlag:
- Springer, 10/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032011480
- Artikelnummer:
- 12334169
- Umfang:
- 136 Seiten
- Gewicht:
- 219 g
- Maße:
- 235 x 155 mm
- Stärke:
- 8 mm
- Erscheinungstermin:
- 14.10.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
Chapter 1 Introduction.- 1.1 An Overview of Human Reconstruction.- 1.2 Development of mmWave Sensing.- 1.3 Organization of Monograph.- Chapter 2 mmWave-based Human Posture Reconstruction.- 2.1 Background and Motivation.- 2.2 System Overview.- 2.3 Multi-User Detection and Separation.- 2.3.1 User Detection on mmWave Signals.- 2.3.2 User Separation on mmWave Signals.- 2.4 Single-User Posture Reconstruction.- 2.4.1 Posture Feature Representation.- 2.4.2 3D Posture Reconstruction.- 2.5 Multi-User 3D Posture Tracking.- 2.5.1 Posture Mapping with Point Cloud.- 2.5.2 3D Posture Tracking.- 2.6 Evaluation.- 2.6.1 Evaluation Setup.- 2.6.2 Overall Performance.- 2.6.3 Quantitative Result.- 2.6.4 Localization Performance.- 2.6.5 Performance in Different Scenarios.- 2.6.6 Comparison with SOTA Systems.- 2.6.7 Impact of Factors.- 2.7 Summary and Further Reading.- Reference.- Chapter 3 mmWave-based Facial Expression Reconstruction.- 3.1 Background and Motivation.- 3.2 System Overview.- 3.3 Facial Feature Extraction.- 3.3.1 Feature Representation Extraction.- 3.3.2 Geometric Feature Extraction.- 3.4 3D Facial Expression Reconstruction.- 3.4.1 Facial Shape Reconstruction.- 3.4.2 Facial Expression Reconstruction.- 3.4.3 3D Avatar Generation.- 3.5 Evaluation.- 3.5.1 Evaluation Setup.- 3.5.2 Overall Performance.- 3.5.3 Comparison with SOTA Systems.- 3.5.4 Facial Expression Recognition.- 3.5.5 Impact of Mask.- 3.5.6 Impact of Distance and Orientation.- 3.5.7 Impact of Background Environment.- 3.5.8 In-the-Wild Evaluation.- 3.6 Summary and Further Reading.- Reference.- Chapter 4 mmWave-based Hand Gesture Reconstruction.- 4.1 Background and Motivation.- 4.2 System Overview.- 4.3 Hand Joint Regression.- 4.3.1 Hand Detection on mmWave Signals.- 4.3.2 Hand Feature Extraction.- 4.3.3 3D Hand Joint Regression.- 4.4 Mesh Reconstruction.- 4.4.1 3D Hand Model.- 4.4.2 Hand Mesh Reconstruction.- 4.5 Evaluation.- 4.5.1 Evaluation Setup.- 4.5.2 Overall Performance.- 4.4.3 Comparison with SOTA Systems.- 4.4.4 Impact of Distance and Angle.- 4.4.5 Impact of Human Body.- 4.4.6 Impact of Gloves and Handheld Object.- 4.4.7 Impact of Background Environment.- 4.6 Summary and Further Reading.- Reference.- Chapter 5 State-of-Art Research.- 5.1 Human .-Pose Reconstruction.- 5.2 mmWave Sensing in Smart Homes.- 5.3 mmWave-based Human Sensing Applications.- 5.4 Summary of Existing Research.- Reference.- Chapter 6 Conclusion and Future Work.- 6.1 Conclusion of the Book.- 6.2 Future Work.- Reference.