Results 11 - 20 of 14,028

Activity recognition using cell phone accelerometers

by Jennifer R. Kwapisz, Gary M. Weiss, Samuel A. Moore - Proceedings of the Fourth International Workshop on Knowledge Discovery from Sensor Data , 2010
"... Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS sensors, vision sensors (i.e., cameras), audio sensors (i.e., microphones), light sensors, temperature sensors, directio ..."
Abstract - Cited by 131 (8 self) - Add to MetaCart
phone-based accelerometers to perform activity recognition, a task which involves identifying the physical activity a user is performing. To implement our system we collected labeled accelerometer data from twenty-nine users as they performed daily activities such as walking, jogging, climbing stairs

Layered Representations for Human Activity Recognition

by Nuria Oliver, Eric Horvitz, Ashutosh Garg - In Fourth IEEE Int. Conf. on Multimodal Interfaces , 2002
"... We present the use of layered probabilistic representations using Hidden Markov Models for performing sensing, learning, and inference at multiple levels of temporal granularity. We describe the use of the representation in a system that diagnoses states of a user's activity based on real-time ..."
Abstract - Cited by 118 (5 self) - Add to MetaCart
We present the use of layered probabilistic representations using Hidden Markov Models for performing sensing, learning, and inference at multiple levels of temporal granularity. We describe the use of the representation in a system that diagnoses states of a user's activity based on real

Activity recognition with smartphone sensors

by Xing Su - Tsinghua Sci. Technol
"... Abstract The ubiquity of smartphones together with their ever-growing computing, networking and sensing powers have been changing the landscape of people's daily life. Among others, activity recoginition, which takes the raw sensor reading as inputs and predicts a user's motion activity, ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
presents a comprehensive survey of the recent advances in activity recognition with smartphones' sensors. We start with the basic concepts such as sensors, activity types, etc. We review the core data mining techniques behind the main stream activity recognition algorithms, analyze their major

Chapter 12 Activity Recognition

by unknown authors
"... Activity recognition is a key stage in automatic analysis of video sequences. The main challenge is to make the link between low-level input and a semantic description of the activities. The problem is complex because of the noise-afflicted nature of the videos (lighting changes, segmentation proble ..."
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Activity recognition is a key stage in automatic analysis of video sequences. The main challenge is to make the link between low-level input and a semantic description of the activities. The problem is complex because of the noise-afflicted nature of the videos (lighting changes, segmentation

Human Activity Recognition with Metric Learning

by Du Tran, Er Sorokin
"... Abstract. This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We show that our approach outperforms all state-of-the-art methods on numerous standard datasets for traditional a ..."
Abstract - Cited by 67 (0 self) - Add to MetaCart
Abstract. This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We show that our approach outperforms all state-of-the-art methods on numerous standard datasets for traditional

Cross-Domain Activity Recognition

by Vincent Wenchen Zheng, Derek Hao Hu, Qiang Yang
"... In activity recognition, one major challenge is huge manual effort in labeling when a new domain of activities is to be tested. In this paper, we ask an interesting question: can we transfer the available labeled data from a set of existing activities in one domain to help recognize the activities i ..."
Abstract - Cited by 21 (4 self) - Add to MetaCart
In activity recognition, one major challenge is huge manual effort in labeling when a new domain of activities is to be tested. In this paper, we ask an interesting question: can we transfer the available labeled data from a set of existing activities in one domain to help recognize the activities

Activity Recognition With Mobile Phones

by Jordan Frank, Shie Mannor, Doina Precup
"... Abstract. Our demonstration consists of a working activity and gait recognition system, implemented on a consumer smartphone. The activity recognition feature allows participants to train various activities, such as running, walking, or jumping, into the phone, and the system can then identify when ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
Abstract. Our demonstration consists of a working activity and gait recognition system, implemented on a consumer smartphone. The activity recognition feature allows participants to train various activities, such as running, walking, or jumping, into the phone, and the system can then identify when

Activity recognition with intended actions

by Alfredo Gabaldon - In IJCAI , 2009
"... Abstract The following activity recognition problem is considered: a description of the action capabilities of an agent being observed is given. This includes the preconditions and effects of atomic actions and of the activities (sequences of actions) the agent may execute. Given this description a ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstract The following activity recognition problem is considered: a description of the action capabilities of an agent being observed is given. This includes the preconditions and effects of atomic actions and of the activities (sequences of actions) the agent may execute. Given this description

Activity Recognition for the Smart Hospital

by Dairazalia Sánchez, Monica Tentori, Jesús Favela, A Hidden Markov - IEEE Intelligent Systems, MarchApril
"... model uses contextual information to recognize user activities and provide opportunistic services to hospital staff. Although researchers have developed robust approaches for estimating, location, and user identity, estimating user activities has proven much more challenging. Human activities are so ..."
Abstract - Cited by 44 (4 self) - Add to MetaCart
model uses contextual information to recognize user activities and provide opportunistic services to hospital staff. Although researchers have developed robust approaches for estimating, location, and user identity, estimating user activities has proven much more challenging. Human activities

Fine-Grained Activity Recognition by Aggregating Abstract Object Usage

by Donald J. Patterson, Dieter Fox, Henry Kautz - Ninth IEEE International Symposium on Wearable Computers , 2005
"... In this paper we present results related to achieving finegrained activity recognition for context-aware computing applications. We examine the advantages and challenges of reasoning with globally unique object instances detected by an RFID glove. We present a sequence of increasingly powerful proba ..."
Abstract - Cited by 139 (10 self) - Add to MetaCart
In this paper we present results related to achieving finegrained activity recognition for context-aware computing applications. We examine the advantages and challenges of reasoning with globally unique object instances detected by an RFID glove. We present a sequence of increasingly powerful
Results 11 - 20 of 14,028