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.LG2026

ActivityNarrated: An Open-Ended Narrative Paradigm for Wearable Human Activity Understanding

Lala Shakti Swarup Ray, Mengxi Liu, Alcina Pinto +4

Wearable human activity recognition (HAR) has made steady progress, yet much of this progress remains grounded in fixed-window, closed-set classification benchmarks. This formulati…

cs.LG2026

SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition

Deepika Gurung, Lala Shakti Swarup Ray, Mengxi Liu +2

Real time sensor based applications in pervasive computing require edge deployable models to ensure low latency privacy and efficient interaction. A prime example is sensor based h…

cs.LG2024★ 3 cited

Towards certifiable AI in aviation: landscape, challenges, and opportunities

Hymalai Bello, Daniel Geißler, Lala Ray +6

Artificial Intelligence (AI) methods are powerful tools for various domains, including critical fields such as avionics, where certification is required to achieve and maintain an…

cs.LG2024★ 2 cited

MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition

Stefan Gerd Fritsch, Cennet Oguz, Vitor Fortes Rey +3

Human activity recognition (HAR) is a long-standing problem in artificial intelligence with applications in a broad range of areas, including healthcare, sports and fitness, securi…

cs.LG2024

Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR

Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh +3

In human activity recognition (HAR), the availability of substantial ground truth is necessary for training efficient models. However, acquiring ground pressure data through physic…

cs.LG2023

CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control

Hymalai Bello, Sungho Suh, Daniel Geißler +3

We present CaptAinGlove, a textile-based, low-power (1.15Watts), privacy-conscious, real-time on-the-edge (RTE) glove-based solution with a tiny memory footprint (2MB), designed to…