Health
Data were generated from ChatGPT’s responses to 80 counseling questions that college students asked during a school counseling setting. All the responses generated during these simulated counseling sessions were then analyzed using three primary metrics—warmth, empathy, and acceptance—following APA guidelines. The analysis adopted several natural language processing methodologies for emotion detection and empathy measurement to quantify ChatGPT’s high efficacy in presenting the appropriate emotions and reactions for counseling.
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15 Views
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98 Views
As a growing population is paying attention to physical health, smart wearable fitness devices have become popular around the world. However, individuals’ intention to use smart wearable fitness devices is still worth in-depth study.
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40 Views
The data for this research are gathered from a variety of environments to evaluate CO2 accumulation under a range of uncontrolled variables. The dataset includes both built environments and transportation settings, offering a comprehensive view of real-world conditions across different contexts:
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56 Views
This dataset contains Wi-Fi sensing data using Channel State Information (CSI) for various sleep disturbance parameters, from respiratory disturbances, to motion-based disturbances from posture shifts, leg restlessness and confusional arousals.The Wi-Fi CSI data was collected using the Wi-Fi module on the ESP32 Microcontroller units using the esp32-csi-tool.The Wi-Fi CSI respiratory disturbance data is accompanied by respiration belt data taken with the Wi-Fi measurements simultaneously using the Neulog NUL-236 respiration belt logger as ground truth.
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693 Views
The "Burn Depression Checklist Dataset" is a comprehensive dataset designed to aid in the analysis and understanding of depressive symptoms. The dataset is comprised of 2,600 entries, each corresponding to a unique individual, with 25 features that encapsulate various dimensions of depression, ranging from emotional and psychological symptoms to behavioral patterns.
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766 Views
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31 Views
This dataset contains gait analysis data from 120 healthy individuals, aimed at assessing and quantifying overall gait quality through a novel gait index. Key gait parameters include walking speed, maximum knee flexion angle, stride length, and stance-swing phase ratio. Additionally, demographic information such as gender, age, height, weight, and BMI is provided for each subject. These parameters were systematically selected for their significance in indicating gait mechanics and deviations from normal gait patterns.
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586 Views
This dataset named "Chest X-ray images for Multiple diseases" is a medium sized dataset we collected and produced in 2024 from various sources to predict various Chest-X-ray diseases using Deep learning techniques, primarily from Radiopaedia.org, coronacases.org, Kaggle contains 1000 images for each of the disease namely TB,pneumonia,Covid-19,Normal. This dataset is designed to support the evaluation and development of algorithms to predict various chest x-ray diseases.
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992 Views