activity
20212025
most citedOn the Generalizability of ECG-based Stress Detection Models

23 citations · 57 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2025

Communicating Through Avatars in Industry 5.0: A Focus Group Study on Human-Robot Collaboration

Stina Klein, Pooja Prajod, Katharina Weitz +3

The integration of collaborative robots (cobots) in industrial settings raises concerns about worker well-being, particularly due to reduced social interactions. Avatars - designed…

cs.HC2024

Socially Interactive Agents for Robotic Neurorehabilitation Training: Conceptualization and Proof-of-concept Study

Rhythm Arora, Pooja Prajod, Matteo Lavit Nicora +6

Individuals with diverse motor abilities often benefit from intensive and specialized rehabilitation therapies aimed at enhancing their functional recovery. Nevertheless, the chall…

cs.CV2024★ 5 cited

Faces of Experimental Pain: Transferability of Deep Learned Heat Pain Features to Electrical Pain

Pooja Prajod, Dominik Schiller, Daksitha Withanage Don +1

The limited size of pain datasets are a challenge in developing robust deep learning models for pain recognition. Transfer learning approaches are often employed in these scenarios…

eess.SP2024

Stressor Type Matters! -- Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection

Pooja Prajod, Bhargavi Mahesh, Elisabeth André

Automatic stress detection using heart rate variability (HRV) features has gained significant traction as it utilizes unobtrusive wearable sensors measuring signals like electrocar…

cs.RO2024★ 6 cited

Exploring the Dynamics between Cobot's Production Rhythm, Locus of Control and Emotional State in a Collaborative Assembly Scenario

Marta Mondellini, Matteo Lavit Nicora, Pooja Prajod +4

In industrial scenarios, there is widespread use of collaborative robots (cobots), and growing interest is directed at evaluating and measuring the impact of some characteristics o…

cs.RO2024★ 2 cited

Gaze Detection and Analysis for Initiating Joint Activity in Industrial Human-Robot Collaboration

Pooja Prajod, Matteo Lavit Nicora, Marta Mondellini +4

Collaborative robots (cobots) are widely used in industrial applications, yet extensive research is still needed to enhance human-robot collaborations and operator experience. A po…

cs.HC2023

Gaze-based Attention Recognition for Human-Robot Collaboration

Pooja Prajod, Matteo Lavit Nicora, Matteo Malosio +1

Attention (and distraction) recognition is a key factor in improving human-robot collaboration. We present an assembly scenario where a human operator and a cobot collaborate equal…

cs.LG2023★ 5 cited

ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario

Alexander Heimerl, Pooja Prajod, Silvan Mertes +7

We present a multi-modal stress dataset that uses digital job interviews to induce stress. The dataset provides multi-modal data of 40 participants including audio, video (motion c…

cs.LG2022★ 23 cited

On the Generalizability of ECG-based Stress Detection Models

Pooja Prajod, Elisabeth André

Stress is prevalent in many aspects of everyday life including work, healthcare, and social interactions. Many works have studied handcrafted features from various bio-signals that…

cs.HC2022★ 5 cited

Employing Socially Interactive Agents for Robotic Neurorehabilitation Training

Rhythm Arora, Matteo Lavit Nicora, Pooja Prajod +4

In today's world, many patients with cognitive impairments and motor dysfunction seek the attention of experts to perform specific conventional therapies to improve their situation…

cs.CV2021★ 11 cited

Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition

Pooja Prajod, Dominik Schiller, Tobias Huber +1

In this paper, we present a process to investigate the effects of transfer learning for automatic facial expression recognition from emotions to pain. To this end, we first train a…