Physical Action Primitives for Collaborative Decision Making in Human-Human Manipulation

Rysbek, Zhanibek; Oh, Kyoung-Hee; Abbasi, Bahareh; Žefran, Miloš; Eugenio, Barbara Di

doi:10.1109/ro-man50785.2021.9515363

Cited by 2 publications

(1 citation statement)

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“…Our second objective was to validate the performance of the LittleBeats' IMU (Study 3), which integrates an off-the-shelf IMU sensor that has been used in prior studies with excellent performance [55][56][57]. Including an IMU on the LittleBeats™ platform provides information on posture and movements that can be used to assess such constructs as infant physical activity, sedentary behavior, and sleep.…”

Section: Validation Of Ecg (Study 1 2) Imu (Study 3) and Audio (Study...mentioning

confidence: 99%

Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations

Islam,

McElwain,

et al. 2024

Sensors

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Across five studies, we present the preliminary technical validation of an infant-wearable platform, LittleBeats™, that integrates electrocardiogram (ECG), inertial measurement unit (IMU), and audio sensors. Each sensor modality is validated against data from gold-standard equipment using established algorithms and laboratory tasks. Interbeat interval (IBI) data obtained from the LittleBeats™ ECG sensor indicate acceptable mean absolute percent error rates for both adults (Study 1, N = 16) and infants (Study 2, N = 5) across low- and high-challenge sessions and expected patterns of change in respiratory sinus arrythmia (RSA). For automated activity recognition (upright vs. walk vs. glide vs. squat) using accelerometer data from the LittleBeats™ IMU (Study 3, N = 12 adults), performance was good to excellent, with smartphone (industry standard) data outperforming LittleBeats™ by less than 4 percentage points. Speech emotion recognition (Study 4, N = 8 adults) applied to LittleBeats™ versus smartphone audio data indicated a comparable performance, with no significant difference in error rates. On an automatic speech recognition task (Study 5, N = 12 adults), the best performing algorithm yielded relatively low word error rates, although LittleBeats™ (4.16%) versus smartphone (2.73%) error rates were somewhat higher. Together, these validation studies indicate that LittleBeats™ sensors yield a data quality that is largely comparable to those obtained from gold-standard devices and established protocols used in prior research.

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Section: Validation Of Ecg (Study 1 2) Imu (Study 3) and Audio (Study...mentioning

confidence: 99%