Transfer learning for activity recognition: A survey
Many intelligent systems that focus on the needs of a human require information about the
activities being performed by the human. At the core of this capability is activity recognition …
activities being performed by the human. At the core of this capability is activity recognition …
The elderly's independent living in smart homes: A characterization of activities and sensing infrastructure survey to facilitate services development
Q Ni, AB Garcia Hernando, IP De la Cruz - Sensors, 2015 - mdpi.com
Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …
monitoring of a rapidly aging population in developed countries. Most works in this area use …
A survey on activity detection and classification using wearable sensors
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
Activity recognition using cell phone accelerometers
JR Kwapisz, GM Weiss, SA Moore - ACM SigKDD Explorations …, 2011 - dl.acm.org
Mobile devices are becoming increasingly sophisticated and the latest generation of smart
cell phones now incorporates many diverse and powerful sensors. These sensors include …
cell phones now incorporates many diverse and powerful sensors. These sensors include …
Activity recognition on streaming sensor data
NC Krishnan, DJ Cook - Pervasive and mobile computing, 2014 - Elsevier
Many real-world applications that focus on addressing needs of a human, require
information about the activities being performed by the human in real-time. While advances …
information about the activities being performed by the human in real-time. While advances …
Simple and complex activity recognition through smart phones
S Dernbach, B Das, NC Krishnan… - 2012 eighth …, 2012 - ieeexplore.ieee.org
Due to an increased popularity of assistive healthcare technologies activity recognition has
become one of the most widely studied problems in technology-driven assistive healthcare …
become one of the most widely studied problems in technology-driven assistive healthcare …
Unsupervised learning for human activity recognition using smartphone sensors
Y Kwon, K Kang, C Bae - Expert Systems with Applications, 2014 - Elsevier
To provide more sophisticated healthcare services, it is necessary to collect the precise
information on a patient. One impressive area of study to obtain meaningful information is …
information on a patient. One impressive area of study to obtain meaningful information is …
Single-accelerometer-based daily physical activity classification
In this study, a single tri-axial accelerometer placed on the waist was used to record the
acceleration data for human physical activity classification. The data collection involved 24 …
acceleration data for human physical activity classification. The data collection involved 24 …
Using mobile phones for activity recognition in Parkinson's patients
Mobile phones with built-in accelerometers promise a convenient, objective way to quantify
everyday movements and classify those movements into activities. Using accelerometer …
everyday movements and classify those movements into activities. Using accelerometer …
Unique action identifier by using magnetometer, accelerometer and gyroscope: KNN approach
P Palimkar, V Bajaj, AK Mal, RN Shaw… - Advanced Computing and …, 2022 - Springer
In today's world, where technology is advancing every single day, new methodologies are
being developed, and are brought in everyday use making our lives simpler, faster, safer …
being developed, and are brought in everyday use making our lives simpler, faster, safer …