This dataset contains three-axis accelerometer data obtained from bilaterally-placed finger-worn and wrist-worn sensors that were collected from the in-laboratory and free-living experiments. The descriptions about the the experiments are provided in the manuscript: The Use of A Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings
Abstract Objective The Life Microscope is a new wristband-based life recorder system that can identi...
Physical behaviors (e.g., physical activity and sedentary behavior) have been the focus among many r...
Inertial sensors (accelerometers and gyroscopes) are ubiquitous in today’s society, where they can b...
The use of wrist-worn accelerometers has recently gained tremendous interest among researchers and c...
This dataset contains accelerometer data collected by wearing Empatica E4 device. The onboard three...
For details on using the data and on available helper codes, refer to https://gait-tech.github.io/ga...
Dataset for the lab study, part of the paper "Continuous Identification in Smart Environments Using...
Dataset for the in-situ study at home environment, part of the paper "Continuous Identification in S...
Wearable accelerometers provide detailed, objective, and continuous measurements of physical activit...
Wearable accelerometers have recently become a standalone tool for the objective assessment of physi...
This data set divided in two sub categories: Inertial sensors data and ECG data. Inertial data compr...
The methods used to quantify finger range of motion significantly influence how hand disability is r...
The advances in medical technologies have continued to improve diagnostic and measurement devices, e...
Wrist-worn accelerometers are becoming more prevalent as a means to assess use of the impaired upper...
Dataset for the in-situ study at the office environment, part of the paper "Continuous Identificati...
Abstract Objective The Life Microscope is a new wristband-based life recorder system that can identi...
Physical behaviors (e.g., physical activity and sedentary behavior) have been the focus among many r...
Inertial sensors (accelerometers and gyroscopes) are ubiquitous in today’s society, where they can b...
The use of wrist-worn accelerometers has recently gained tremendous interest among researchers and c...
This dataset contains accelerometer data collected by wearing Empatica E4 device. The onboard three...
For details on using the data and on available helper codes, refer to https://gait-tech.github.io/ga...
Dataset for the lab study, part of the paper "Continuous Identification in Smart Environments Using...
Dataset for the in-situ study at home environment, part of the paper "Continuous Identification in S...
Wearable accelerometers provide detailed, objective, and continuous measurements of physical activit...
Wearable accelerometers have recently become a standalone tool for the objective assessment of physi...
This data set divided in two sub categories: Inertial sensors data and ECG data. Inertial data compr...
The methods used to quantify finger range of motion significantly influence how hand disability is r...
The advances in medical technologies have continued to improve diagnostic and measurement devices, e...
Wrist-worn accelerometers are becoming more prevalent as a means to assess use of the impaired upper...
Dataset for the in-situ study at the office environment, part of the paper "Continuous Identificati...
Abstract Objective The Life Microscope is a new wristband-based life recorder system that can identi...
Physical behaviors (e.g., physical activity and sedentary behavior) have been the focus among many r...
Inertial sensors (accelerometers and gyroscopes) are ubiquitous in today’s society, where they can b...