IntelliMan_WP5_Grasping, Manipulation and Arm-Hand Coordination_T5.1_Data fusion and sensing technology_IEEEICECS2024_Data

The dataset was collected using a wearable sensing glove while grasping 28 daily-life objects. Five subjects participated in the experiment. For each trial, a subject grasped an object for 1 second and then released it. Each subject performed 10 trials per object, resulting in 50 trials per class and 1400 total recordings (28 objects × 50 trials). Each sample is a multichannel time series recorded at 200 Hz, with 200 time steps per trial (1 s × 200 samples/s) and 35 input channels in total, combining 5 FSR sensors and 5 IMUs (30 IMU channels). To evaluate the contribution of each sensing modality, the data were also split into two subsets: an IMU-only dataset (30 channels) and an FSR-only dataset (5 channels), enabling comparison of sensor configurations for object shape recognition.