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3DPH
2009
163views Healthcare» more  3DPH 2009»
13 years 9 months ago
Discriminative Human Full-Body Pose Estimation from Wearable Inertial Sensor Data
Abstract. In this paper, a method is presented that allows reconstructing the full-body pose of a person in real-time, based on the limited input from a few wearable inertial senso...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab
MMSYS
2012
242views more  MMSYS 2012»
12 years 3 months ago
6DMG: a new 6D motion gesture database
Motion-based control is gaining popularity, and motion gestures form a complementary modality in human-computer interactions. To achieve more robust user-independent motion gestur...
Mingyu Chen, Ghassan Al-Regib, Biing-Hwang Juang
ECCV
2010
Springer
14 years 1 months ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
CVPR
2012
IEEE
11 years 10 months ago
Two-person interaction detection using body-pose features and multiple instance learning
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
SENSYS
2006
ACM
14 years 2 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...