Recent advancement of technology enables installations of small sized accelerometers or gyroscopes on various kinds of wearable/portable information devices. By using such wearable sensors, these devices can estimate its posture or status. However, most of current devices only utilize these sensors for simple orientation and gesture recognition. More deep understandings and recognition of human activity through these sensors will enable the next-generation human-oriented computing. To enable the real-world application by these kinds of wearable sensors, a large scale human activity sensing corpus might play an important role. Additionally, we have now a lot of high-performance mobile devices in real-world such as smart-phones. It is a great...
Delivering accurate and opportune information on people\u27s activities and behaviors has become one...
The future of human computer interaction systems lies in how intelligently these systems can take in...
Sensor-based motion recognition integrates the emerging area of wearable sensors with novel machine ...
Abstract Technological advances enable the inclusion of miniature sensors (e.g., accelerometers, gy...
Abstract The recognition of complex and subtle human behaviors from wearable sensors will enable nex...
Abstract The recognition of complex and subtle human behaviors from wearable sensors will enable ne...
Physical activities play an important role in our physical and mental well-being. The lack of such a...
Physical activities play a very important role in our physical and mental well-being. The lack of ph...
Current motion sensors in wearable devices are primarily used for simple orientation and motion sens...
This thesis investigates the use of wearable sensors to recognize human activity. The activity of th...
Sensors worn at the body allow an unobtrusive recording of physical activities, of tranquillity, sle...
The rapid growing of the population age in industrialized societies calls for advanced tools to cont...
Today’s pervasive availability of computing devices enabled with wireless communication and location...
Activity recognition has emerged as a challenging and high-impact research field, as over the past y...
Over recent years, Human Activity Recognition (HAR) has played a very significant role in this emerg...
Delivering accurate and opportune information on people\u27s activities and behaviors has become one...
The future of human computer interaction systems lies in how intelligently these systems can take in...
Sensor-based motion recognition integrates the emerging area of wearable sensors with novel machine ...
Abstract Technological advances enable the inclusion of miniature sensors (e.g., accelerometers, gy...
Abstract The recognition of complex and subtle human behaviors from wearable sensors will enable nex...
Abstract The recognition of complex and subtle human behaviors from wearable sensors will enable ne...
Physical activities play an important role in our physical and mental well-being. The lack of such a...
Physical activities play a very important role in our physical and mental well-being. The lack of ph...
Current motion sensors in wearable devices are primarily used for simple orientation and motion sens...
This thesis investigates the use of wearable sensors to recognize human activity. The activity of th...
Sensors worn at the body allow an unobtrusive recording of physical activities, of tranquillity, sle...
The rapid growing of the population age in industrialized societies calls for advanced tools to cont...
Today’s pervasive availability of computing devices enabled with wireless communication and location...
Activity recognition has emerged as a challenging and high-impact research field, as over the past y...
Over recent years, Human Activity Recognition (HAR) has played a very significant role in this emerg...
Delivering accurate and opportune information on people\u27s activities and behaviors has become one...
The future of human computer interaction systems lies in how intelligently these systems can take in...
Sensor-based motion recognition integrates the emerging area of wearable sensors with novel machine ...