activity
20182025
most citedLSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices

405 citations · 413 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario

Saeed Saadatnejad, Reyhaneh Hosseininejad, Jose Barreiros +2

The increasing labor shortage and aging population underline the need for assistive robots to support human care recipients. To enable safe and responsive assistance, robots requir…

cs.CV2025

Social-Pose: Enhancing Trajectory Prediction with Human Body Pose

Yang Gao, Saeed Saadatnejad, Alexandre Alahi

Accurate human trajectory prediction is one of the most crucial tasks for autonomous driving, ensuring its safety. Yet, existing models often fail to fully leverage the visual cues…

cs.CV2023★ 2 cited

Social-Transmotion: Promptable Human Trajectory Prediction

Saeed Saadatnejad, Yang Gao, Kaouther Messaoud +1

Accurate human trajectory prediction is crucial for applications such as autonomous vehicles, robotics, and surveillance systems. Yet, existing models often fail to fully leverage…

cs.RO2023★ 1 cited

JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds

Saeed Saadatnejad, Yang Gao, Hamid Rezatofighi +1

Predicting future trajectories is critical in autonomous navigation, especially in preventing accidents involving humans, where a predictive agent's ability to anticipate in advanc…

cs.CV2020★ 5 cited

Pedestrian Intention Prediction: A Multi-task Perspective

Smail Ait Bouhsain, Saeed Saadatnejad, Alexandre Alahi

In order to be globally deployed, autonomous cars must guarantee the safety of pedestrians. This is the reason why forecasting pedestrians' intentions sufficiently in advance is on…

eess.SP2018★ 405 cited

LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices

Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi

Objective: A novel ECG classification algorithm is proposed for continuous cardiac monitoring on wearable devices with limited processing capacity. Methods: The proposed solution e…