2 citations · 7 across the 5 of their papers we have counts for
5 papers
Point & Grasp: Flexible Selection of Out-of-Reach Objects Through Probabilistic Cue Integration
Xuejing Luo, Hee-Seung Moon, Christian Holz +1
Selecting out-of-reach objects is a fundamental task in mixed reality (MR). Existing methods rely on a single cue or deterministically fuse multiple cues, leading to performance de…
Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging
Rayan Armani, Changlin Qian, Jiaxi Jiang +1
While camera-based capture systems remain the gold standard for recording human motion, learning-based tracking systems based on sparse wearable sensors are gaining popularity. Mos…
Representation Learning for Wearable-Based Applications in the Case of Missing Data
Janosch Jungo, Yutong Xiang, Shkurta Gashi +1
Wearable devices continuously collect sensor data and use it to infer an individual's behavior, such as sleep, physical activity, and emotions. Despite the significant interest and…
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere
Jiaxi Jiang, Paul Streli, Manuel Meier +1
Full-body egocentric pose estimation from head and hand poses alone has become an active area of research to power articulate avatar representations on headset-based platforms. How…
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation
Valentin Bieri, Paul Streli, Berken Utku Demirel +1
We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG). W…