activity
20232026
most citedTowards certifiable AI in aviation: landscape, challenges, and opportunities

3 citations · 6 across the 26 of their papers we have counts for

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6 papers · 1 filter

cs.HC2025

ChairPose: Pressure-based Chair Morphology Grounded Sitting Pose Estimation through Simulation-Assisted Training

Lala Shakti Swarup Ray, Vitor Fortes Rey, Bo Zhou +2

Prolonged seated activity is increasingly common in modern environments, raising concerns around musculoskeletal health, ergonomics, and the design of responsive interactive system…

cs.CV2025

SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models

Lala Shakti Swarup Ray, Mengxi Liu, Deepika Gurung +3

Human Activity Recognition (HAR) with wearable sensors is essential for applications in healthcare, fitness, and human-computer interaction. Bio-impedance sensing offers unique adv…

cs.HC2025

W2W: A Simulated Exploration of IMU Placement Across the Human Body for Designing Smarter Wearable

Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz

Inertial measurement units (IMUs) are central to wearable systems for activity recognition and pose estimation, but sensor placement remains largely guided by heuristics and conven…

cs.CV2025

From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation

Mengxi Liu, Lala Shakti Swarup Ray, Sizhen Bian +6

We present NeckSense, a novel wearable system for head pose tracking that leverages multi-channel bio-impedance sensing with soft, dry electrodes embedded in a lightweight, necklac…

cs.AI2025

TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition

Lala Shakti Swarup Ray, Lars Krupp, Vitor Fortes Rey +3

Sensor-based human activity recognition (HAR) has predominantly focused on Inertial Measurement Units and vision data, often overlooking the capabilities unique to pressure sensors…

cs.AI2025

Initial Findings on Sensor based Open Vocabulary Activity Recognition via Text Embedding Inversion

Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh +1

Conventional human activity recognition (HAR) relies on classifiers trained to predict discrete activity classes, inherently limiting recognition to activities explicitly present i…