Daily Living Activity Recognition Using Wearable Devices: A Features-rich Dataset and a Novel Approach
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains three-axial accelerometer, magnetometer, and gyroscope data recorded from different parts of the body: dominant wrist, hip,and ankle while performing 17 different daily-life activities. All data were recorded with medical-grade devices at a high sampling frequency (up to 256Hz). The dataset includes data of 8 volunteers, aged between 23-37, with a weight between 52-90 kg and height between 172-186 cm. All the subjects were healthy.  Each person performed 17 different activities:  (Set A Activities): RELAX, KEYBOARD, LAPTOP, HANDWRITING, HANDWASHING, FACEWASHING, TEETHBRUSH, SWEEPING, VACUUMING, EATING, DUSTING, RUBBING(Set B Activities): DOWNSTAIRS, WALKING, WALKING FAST, UPSTAIRS, UPSTAIRS FASTSet A activities h' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Accelerometer, IMU, Gyroscope, Magnetometer, Actigraph, Daily Life Activities, Wrist, Hip, Ankle, Dataset, Daily Activities, Daily Life, Actigraph Centrepoint, Actigraph GT9X Link"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains three-axial accelerometer, magnetometer, and gyroscope data recorded from different parts of the body: dominant wrist, hip,and ankle while performing 17 different daily-life activities. All data were recorded with medical-grade devices at a high sampling frequency (up to 256Hz). The dataset includes data of 8 volunteers, aged between 23-37, with a weight between 52-90 kg and height between 172-186 cm. All the subjects were healthy.  Each person performed 17 different activities:  (Set A Activities): RELAX, KEYBOARD, LAPTOP, HANDWRITING, HANDWASHING, FACEWASHING, TEETHBRUSH, SWEEPING, VACUUMING, EATING, DUSTING, RUBBING(Set B Activities): DOWNSTAIRS, WALKING, WALKING FAST, UPSTAIRS, UPSTAIRS FASTSet A activities h' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains three-axial accelerometer, magnetometer, and gyroscope data recorded from different parts of the body: dominant wrist, hip,and ankle while performing 17 different daily-life activities. All data were recorded with medical-grade devices at a high sampling frequency (up to 256Hz). The dataset includes data of 8 volunteers, aged between 23-37, with a weight between 52-90 kg and height between 172-186 cm. All the subjects were healthy.  Each person performed 17 different activities:  (Set A Activities): RELAX, KEYBOARD, LAPTOP, HANDWRITING, HANDWASHING, FACEWASHING, TEETHBRUSH, SWEEPING, VACUUMING, EATING, DUSTING, RUBBING(Set B Activities): DOWNSTAIRS, WALKING, WALKING FAST, UPSTAIRS, UPSTAIRS FASTSet A activities h
Accelerometer, IMU, Gyroscope, Magnetometer, Actigraph, Daily Life Activities, Wrist, Hip, Ankle, Dataset, Daily Activities, Daily Life, Actigraph Centrepoint, Actigraph GT9X Link