17.1.3.7.10 Lifelog, Daily Activities

Chapter Contents (Back)
Activity Recognition. Lifelog.
See also Egocentric Human Action Recognition, First Person, Wearable Monitoring.

Wang, P.[Peng], Smeaton, A.F.[Alan F.],
Semantics-based selection of everyday concepts in visual lifelogging,
MultInfoRetr(1), No. 2, July 2012, pp. 87-101.
WWW Link. 1211
BibRef

Wang, P.[Peng], Sun, L.F.[Li-Feng], Yang, S.Q.[Shi-Qiang], Smeaton, A.F.[Alan F.], Gurrin, C.[Cathal],
Characterizing everyday activities from visual lifelogs based on enhancing concept representation,
CVIU(148), No. 1, 2016, pp. 181-192.
Elsevier DOI 1606
Lifelogging BibRef

Bolaños, M., Dimiccoli, M., Radeva, P.,
Toward Storytelling From Visual Lifelogging: An Overview,
HMS(47), No. 1, February 2017, pp. 77-90.
IEEE DOI 1702
cameras BibRef

Poularakis, S.[Stergios], Avgerinakis, K.[Konstantinos], Briassouli, A.[Alexia], Kompatsiaris, I.[Ioannis],
Efficient motion estimation methods for fast recognition of activities of daily living,
SP:IC(53), No. 1, 2017, pp. 1-12.
Elsevier DOI 1703
BibRef
Earlier:
Computationally efficient recognition of activities of daily living,
ICIP15(247-251)
IEEE DOI 1512
Activity recognition; block matching; motion estimation Activity recognition BibRef

Santarcangelo, V.[Vito], Farinella, G.M.[Giovanni Maria], Furnari, A.[Antonino], Battiato, S.[Sebastiano],
Market basket analysis from egocentric videos,
PRL(112), 2018, pp. 83-90.
Elsevier DOI 1809
Market basket analysis, Egocentric vision, Multimodal analysis BibRef

Tachos, S.[Stavros], Avgerinakis, K.[Konstantinos], Briassouli, A.[Alexia], Kompatsiaris, I.[Ioannis],
Mining discriminative descriptors for goal-based activity detection,
CVIU(160), No. 1, 2017, pp. 73-86.
Elsevier DOI 1706
Activity, detection BibRef

Zarepour, E., Hosseini, M., Kanhere, S.S., Sowmya, A., Rabiee, H.R.,
Applications and Challenges of Wearable Visual Lifeloggers,
Computer(50), No. 3, March 2017, pp. 60-69.
IEEE DOI 1704
Cameras BibRef

Yang, P., Stankevicius, D., Marozas, V., Deng, Z., Liu, E., Lukosevicius, A., Dong, F., Xu, L., Min, G.,
Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare,
SMCS(48), No. 1, January 2018, pp. 50-64.
IEEE DOI 1801
Adaptation models, Biomedical monitoring, Data models, Internet of things, Medical services, Reliability, Uncertainty, physical activity BibRef

Raja, M.[Muneeba], Exler, A.[Anja], Hemminki, S.[Samuli], Konomi, S.[Shin'ichi], Sigg, S.[Stephan], Inoue, S.[Sozo],
Towards pervasive geospatial affect perception,
GeoInfo(22), No. 1, January 2018, pp. 143-169.
Springer DOI 1802
Activity tracking using device tracks. BibRef

Furnari, A.[Antonino], Battiato, S.[Sebastiano], Farinella, G.M.[Giovanni Maria],
Personal-location-based temporal segmentation of egocentric videos for lifelogging applications,
JVCIR(52), 2018, pp. 1-12.
Elsevier DOI 1804
Egocentric Vision, Lifelogging, Personal locations, Temporal segmentation BibRef

Fan, C.Y.[Chen-You], Zhang, Z.H.[Ze-Hua], Crandall, D.J.[David J.],
Deepdiary: Lifelogging image captioning and summarization,
JVCIR(55), 2018, pp. 40-55.
Elsevier DOI 1809
Lifelogging, First-person, Image captioning, Diary, Privacy BibRef

Wang, M., Luo, C., Ni, B., Yuan, J., Wang, J., Yan, S.,
First-Person Daily Activity Recognition With Manipulated Object Proposals and Non-Linear Feature Fusion,
CirSysVideo(28), No. 10, October 2018, pp. 2946-2955.
IEEE DOI 1811
Proposals, Activity recognition, Feature extraction, Image motion analysis, Object detection, Cameras, feature fusion BibRef

Welhenge, A.M.[Anuradhi Malshika], Taparugssanagorn, A.[Attaphongse],
Human activity classification using long short-term memory network,
SIViP(13), No. 4, June 2019, pp. 651-656.
Springer DOI 1906
Activities of daily living aid healthcare. BibRef

Ben Abdallah, F.[Fatma], Feki, G.[Ghada], Ben Ammar, A.[Anis], Ben Amar, C.[Chokri],
Transfer Learning for Improving Lifelog Image Retrieval,
CAIP19(I:284-295).
Springer DOI 1909
BibRef

Takano, W.,
Annotation Generation From IMU-Based Human Whole-Body Motions in Daily Life Behavior,
HMS(50), No. 1, February 2020, pp. 13-21.
IEEE DOI 2001
Human motion, language, probabilistic modeling BibRef

Nan, Z.X.[Zhi-Xiong], Shu, T.[Tianmin], Gong, R.[Ran], Wang, S.[Shu], Wei, P.[Ping], Zhu, S.C.[Song-Chun], Zheng, N.N.[Nan-Ning],
Learning to infer human attention in daily activities,
PR(103), 2020, pp. 107314.
Elsevier DOI 2005
Human attention, Deep neural network, Attentional objects BibRef

Maitre, J.[Julien], Rendu, C.[Clément], Bouchard, K.[Kévin], Bouchard, B.[Bruno], Gaboury, S.[Sébastien],
Object recognition in performed basic daily activities with a handcrafted data glove prototype,
PRL(147), 2021, pp. 181-188.
Elsevier DOI 2106
Data glove, Object recognition, Basic daily activities, Feature extraction, Machine learning, Deep learning BibRef

Das, S.[Srijan], Dai, R.[Rui], Yang, D.[Di], Bremond, F.[Francois],
VPN++: Rethinking Video-Pose Embeddings for Understanding Activities of Daily Living,
PAMI(44), No. 12, December 2022, pp. 9703-9717.
IEEE DOI 2212
Videos, Virtual private networks, Visualization, Skeleton, Topology, Task analysis, Trimmed videos, pose, activities of daily living, attention BibRef

Das, S.[Srijan], Sharma, S.[Saurav], Dai, R.[Rui], Brémond, F.[François], Thonnat, M.[Monique],
Vpn: Learning Video-Pose Embedding for Activities of Daily Living,
ECCV20(IX:72-90).
Springer DOI 2011
BibRef

Kim, B.H.[Byung Hyung], Jo, S.[Sungho], Choi, S.[Sunghee],
ALIS: Learning Affective Causality Behind Daily Activities From a Wearable Life-Log System,
Cyber(52), No. 12, December 2022, pp. 13212-13224.
IEEE DOI 2212
Physiology, Sensors, Emotion recognition, Biomedical monitoring, Electroencephalography, Brain modeling, Feature extraction, wearable BibRef

Xu, Z.M.[Zi-Min], Wang, G.L.[Guo-Li], Guo, X.M.[Xue-Mei],
Event-driven daily activity recognition with enhanced emergent modeling,
PR(135), 2023, pp. 109149.
Elsevier DOI 2212
Emergent paradigm, Marker-based stigmergy, Directed-weighted network, Activity modeling, Daily activity recognition BibRef

Wang, W.[Wei], Li, J.B.[Jian-Bo], Li, Y.[Ying], Dong, X.[Xueshi],
Predicting Activities of Daily Living for the Coming Time Period in Smart Homes,
HMS(53), No. 1, February 2023, pp. 228-238.
IEEE DOI 2301
Sensors, Smart homes, Intelligent sensors, Predictive models, Deep learning, Hidden Markov models, Activity recognition, smart home BibRef

Nagar, P.[Pravin], Rathore, A.[Anuj], Jawahar, C.V., Arora, C.[Chetan],
Generating Personalized Summaries of Day Long Egocentric Videos,
PAMI(45), No. 6, June 2023, pp. 6832-6845.
IEEE DOI 2305
Videos, Visualization, Cameras, Benchmark testing, Video sequences, Sports, Tools, Egocentric videos, first-person videos, Q-Learning BibRef

Liu, Z.G.[Zhi-Gang], Wu, Y.[Yin], Yin, Z.Y.[Zi-Yang], Gao, C.L.[Chun-Lei],
Unsupervised video segmentation for multi-view daily action recognition,
IVC(134), 2023, pp. 104687.
Elsevier DOI 2305
Video segmentation, Multi-layer representation, Multi-view action recognition, Motion atom, Motion phrase BibRef


Xu, M.M.[Meng-Meng], Li, Y.H.[Yang-Hao], Fu, C.Y.[Cheng-Yang], Ghanem, B.[Bernard], Xiang, T.[Tao], Pérez-Rúa, J.M.[Juan-Manuel],
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization,
CVPR23(2593-2603)
IEEE DOI 2309
BibRef

Ravi, S.[Siddharth], Climent-Perez, P.[Pau], Morales, T.[Théo], Huesca-Spairani, C.[Carlo], Hashemifard, K.[Kooshan], Florez-Revuelta, F.[Francisco],
ODIN: An OmniDirectional INdoor dataset capturing Activities of Daily Living from multiple synchronized modalities,
OmniCV23(6488-6497)
IEEE DOI 2309
BibRef

Nagesh, N.[Nitish], Azimi, I.[Iman], Andriola, T.[Tom], Rahmani, A.M.[Amir M.], Jain, R.[Ramesh],
Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data,
MMMod23(I: 589-600).
Springer DOI 2304
BibRef

Riegler, M.A.[Michael A.], Thambawita, V.[Vajira], Chatterjee, A.[Ayan], Nguyen, T.[Thu], Hicks, S.A.[Steven A.], Telle-Hansen, V.[Vibeke], Pettersen, S.A.[Svein Arne], Johansen, D.[Dag], Jain, R.[Ramesh], Halvorsen, P.[Pål],
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset,
MMMod23(I: 502-514).
Springer DOI 2304
BibRef

Tran, L.D.[Ly-Duyen], Nie, D.Y.[Dong-Yun], Zhou, L.[Liting], Nguyen, B.[Binh], Gurrin, C.[Cathal],
Vaisl: Visual-aware Identification of Semantic Locations in Lifelog,
MMMod23(II: 659-670).
Springer DOI 2304
BibRef

Chen, H.M.[Hua-Mei], Blasch, E.[Erik], Sullivan, N.[Nichole], Chen, G.[Genshe],
Trajectory-Based Pattern of Life Analysis,
ICIP22(2591-2595)
IEEE DOI 2211
Traffic control, Mobile handsets, Trajectory, Data mining, Pattern analysis, Pattern of life, WAMI, traffic analysis BibRef

Price, W.[Will], Vondrick, C.[Carl], Damen, D.[Dima],
UnweaveNet: Unweaving Activity Stories,
CVPR22(13760-13769)
IEEE DOI 2210
Representation learning, Instruction sets, Surveillance, Memory management, Switches, Weaving, Pattern recognition, Representation learning BibRef

Xiang, W.M.[Wang-Meng], Li, C.[Chao], Li, K.[Ke], Wang, B.[Biao], Hua, X.S.[Xian-Sheng], Zhang, L.[Lei],
CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples,
L3D-IVU22(3920-3929)
IEEE DOI 2210
Location awareness, Codes, Computational modeling, Mouth, Manuals BibRef

Zhou, L.T.[Li-Ting], Gurrin, C.[Cathal],
Multimodal Embedding for Lifelog Retrieval,
MMMod22(I:416-427).
Springer DOI 2203
BibRef

Tran, L.D.[Ly-Duyen], Kennedy, D.[Diarmuid], Zhou, L.[Liting], Nguyen, B.[Binh], Gurrin, C.[Cathal],
A Virtual Reality Reminiscence Interface for Personal Lifelogs,
MMMod22(II:479-484).
Springer DOI 2203
BibRef

Tran, L.D.[Ly-Duyen], Ho, T.C.[Thanh Cong], Pham, L.A.[Lan Anh], Nguyen, B.[Binh], Gurrin, C.[Cathal], Zhou, L.[Liting],
LLQA: Lifelog Question Answering Dataset,
MMMod22(I:217-228).
Springer DOI 2203
BibRef

Palbar, T.[Tenzin], Kesavulu, M.[Manoj], Gurrin, C.[Cathal], Verbruggen, R.[Renaat],
Prediction of Blood Glucose Using Contextual LifeLog Data,
MMMod22(I:404-415).
Springer DOI 2203
BibRef

Fan, L.[Lei], Xiong, P.X.[Pei-Xi], Wei, W.[Wei], Wu, Y.[Ying],
FLAR: A Unified Prototype Framework for Few-sample Lifelong Active Recognition,
ICCV21(15374-15383)
IEEE DOI 2203
Training, Visualization, Prototypes, Reinforcement learning, Intelligent agents, Task analysis, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Zhang, H.M.[Hong-Ming], Huo, Y.T.[Yin-Tong], Zhao, X.R.[Xin-Ran], Song, Y.Q.[Yang-Qiu], Roth, D.[Dan],
Learning Contextual Causality between Daily Events from Time-consecutive Images,
CiV21(1752-1755)
IEEE DOI 2109
Training, Visualization, Annotations, Knowledge acquisition, Pattern recognition BibRef

Smeaton, A.F.[Alan F.], Krishnamurthy, N.G.[Naveen Garaga], Suryanarayana, A.H.[Amruth Hebbasuru],
Keystroke Dynamics as Part of Lifelogging,
MMMod21(II:183-195).
Springer DOI 2106
BibRef

Nguyen, M.D.[Manh-Duy], Nguyen, B.T.[Binh T.], Gurrin, C.[Cathal],
Graph-based Indexing and Retrieval of Lifelog Data,
MMMod21(II:256-267).
Springer DOI 2106
BibRef

Nguyen, D.H.[Dang-Hieu], Nguyen-Tai, T.L.[Tan-Loc], Nguyen, M.T.[Minh-Tam], Nguyen, T.B.[Thanh-Binh], Dao, M.S.[Minh-Son],
MNR-AIR: An Economic and Dynamic Crowdsourcing Mechanism to Collect Personal Lifelog and Surrounding Environment Dataset. A Case Study in Ho Chi Minh City, Vietnam,
MMMod21(II:206-217).
Springer DOI 2106
BibRef

Tsamis, G.[Georgios], Kostavelis, I.[Ioannis], Giakoumis, D.[Dimitrios], Tzovaras, D.[Dimitrios],
Towards life-long mapping of dynamic environments using temporal persistence modeling,
ICPR21(10480-10485)
IEEE DOI 2105
Measurement, Simultaneous localization and mapping, Navigation, Service robots, Predictive models, Probabilistic logic, Prediction algorithms BibRef

Takahashi, M.[Masami], Kohjima, M.[Masahiro], Kurashima, T.[Takeshi], Toda, H.[Hiroyuki],
Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs,
ICPR21(4865-4872)
IEEE DOI 2105
Reinforcement learning, Data models, Planning, Timing, Pattern recognition BibRef

Fan, L.J.[Li-Jie], Li, T.H.[Tian-Hong], Yuan, Y.[Yuan], Katabi, D.[Dina],
In-home Daily-life Captioning Using Radio Signals,
ECCV20(II:105-123).
Springer DOI 2011
BibRef

Das, S., Thonnat, M., Bremond, F.,
Looking deeper into Time for Activities of Daily Living Recognition,
WACV20(487-496)
IEEE DOI 2006
Videos, Feature extraction, Computational modeling, Motion segmentation, Image segmentation, Solid modeling BibRef

Giannakeris, P.[Panagiotis], Meditskos, G.[Georgios], Avgerinakis, K.[Konstantinos], Vrochidis, S.[Stefanos], Kompatsiaris, I.[Ioannis],
Real-time Recognition of Daily Actions Based on 3d Joint Movements and Fisher Encoding,
MMMod20(II:601-613).
Springer DOI 2003
BibRef

Duane, A.[Aaron], Gurrin, C.[Cathal],
Baseline Analysis of a Conventional and Virtual Reality Lifelog Retrieval System,
MMMod20(II:412-423).
Springer DOI 2003
BibRef

Gurrin, C.[Cathal], Schoeffmann, K.[Klaus], Joho, H.[Hideo], Munzer, B.[Bernd], Albatal, R.[Rami], Hopfgartner, F.[Frank], Zhou, L.T.[Li-Ting], Dang-Nguyen, D.T.[Duc-Tien],
A Test Collection for Interactive Lifelog Retrieval,
MMMod19(I:312-324).
Springer DOI 1901
BibRef

Duane, A.[Aaron], Gurrin, C.[Cathal],
User Interaction for Visual Lifelog Retrieval in a Virtual Environment,
MMMod19(I:239-250).
Springer DOI 1901
BibRef

Fouhey, D.F., Kuo, W., Efros, A.A., Malik, J.,
From Lifestyle VLOGs to Everyday Interactions,
CVPR18(4991-5000)
IEEE DOI 1812
Dataset, Action.
HTML Version. Videos, YouTube, Task analysis, Cameras, Internet, Benchmark testing BibRef

Maeda, H.[Haruhisa], Saiki, S.[Sachio], Nakamura, M.[Masahide], Yasuda, K.[Kiyoshi],
Log4Care: Unified Event Logging Service for Personalized Care,
DHM18(466-477).
Springer DOI 1807
BibRef

Tayyub, J., Hawasly, M., Hogg, D.C., Cohn, A.G.,
Learning Hierarchical Models of Complex Daily Activities from Annotated Videos,
WACV18(1633-1641)
IEEE DOI 1806
grammars, image annotation, inference mechanisms, learning (artificial intelligence), stochastic processes, Videos BibRef

Xu, Y.D.[Yang-Di], Bull, D.R.[David R.], Damen, D.[Dima],
Unsupervised Long-Term Routine Modelling Using Dynamic Bayesian Networks,
DICTA17(1-8)
IEEE DOI 1804
routine patterns for a single person from long- term visual data. Bayes methods, belief networks, data mining, feature extraction, image classification, image colour analysis, Visualization BibRef

Duane, A.[Aaron], Gurrin, C.[Cathal],
Lifelog Exploration Prototype in Virtual Reality,
MMMod18(II:377-380).
Springer DOI 1802
BibRef

Gupta, R.[Rashmi], Gurrin, C.[Cathal],
Approaches for Event Segmentation of Visual Lifelog Data,
MMMod18(I:581-593).
Springer DOI 1802
BibRef

Khalid, E.A., Radeva, P., Brahim, A., Mohammed, O.,
Using content-based image retrieval to automatically assess day similarity in visual lifelogs,
ISCV17(1-9)
IEEE DOI 1710
Cameras, Data mining, Heuristic algorithms, Histograms, Image color analysis, Time series analysis, Visualization, DTW, EDUB, Lifelogging, day similarity, similarity, measure BibRef

Hassan, E.T., Hasan, R., Shaffer, P., Crandall, D., Kapadia, A.,
Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos,
PRIV17(1333-1342)
IEEE DOI 1709
Art, Image color analysis, Image edge detection, Image segmentation, Privacy, Semantics, Videos BibRef

Fan, C.Y.[Chen-You], Crandall, D.J.[David J.],
DeepDiary: Automatically Captioning Lifelogging Image Streams,
Egocentric16(I: 459-473).
Springer DOI 1611
BibRef

Crispim, C.F., Koperski, M., Cosar, S., Bremond, F.,
Semi-supervised understanding of complex activities from temporal concepts,
AVSS16(80-87)
IEEE DOI 1611
Complexity theory BibRef

Das, S., Dai, R., Koperski, M., Minciullo, L., Garattoni, L., Bremond, F., Francesca, G.,
Toyota Smarthome: Real-World Activities of Daily Living,
ICCV19(833-842)
IEEE DOI 2004
home computing, image motion analysis, image recognition, neural nets, spatiotemporal phenomena, video signal processing, Feature extraction BibRef

Negin, F., Koperski, M., Crispim, C.F., Bremond, F., Cosar, S., Avgerinakis, K.,
A hybrid framework for online recognition of activities of daily living in real-world settings,
AVSS16(37-43)
IEEE DOI 1611
Computational modeling;Histograms;Testing;Training;Trajectory;Videos BibRef

Qiu, Z.W.[Zheng-Wei], Gurrin, C.[Cathal], Smeaton, A.F.[Alan F.],
Evaluating Access Mechanisms for Multimodal Representations of Lifelogs,
MMMod16(I: 574-585).
Springer DOI 1601
BibRef

Hinbarji, Z.[Zaher], Albatal, R.[Rami], O'Connor, N.E.[Noel E.], Gurrin, C.[Cathal],
LoggerMan, a Comprehensive Logging and Visualization Tool to Capture Computer Usage,
MMMod16(II: 342-347).
Springer DOI 1601
BibRef

Salim, M.H.M.[Mohamad Hidir Mhd], Ali, N.M.[Nazlena Mohamad], Lee, H.W.[Hyo-Won],
Understanding the User Perception in Visual Lifelogging: A Pilot Study in Malaysian Context,
IVIC15(494-502).
Springer DOI 1511
BibRef

Augereau, O.[Olivier], Kise, K.[Koichi], Hoshika, K.[Kensuke],
A proposal of a document image reading-life log based on document image retrieval and eyetracking,
ICDAR15(246-250)
IEEE DOI 1511
BibRef

Zhou, L.J.M.[Li-Juan Marissa], Moynagh, B.[Brian], Zhou, L.T.[Li-Ting], Ye, T.Q.[Teng-Qi], Gurrin, C.[Cathal],
MemLog, an Enhanced Lifelog Annotation and Search Tool,
MMMod15(II: 303-306).
Springer DOI 1501
BibRef

Meyer, J.[Jochen], Fortmann, J.[Jutta], Wasmann, M.[Merlin], Heuten, W.[Wilko],
Making Lifelogging Usable: Design Guidelines for Activity Trackers,
MMMod15(II: 323-334).
Springer DOI 1501
BibRef

Johansen, H.[Håvard], Gurrin, C.[Cathal], Johansen, D.[Dag],
Towards Consent-Based Lifelogging in Sport Analytic,
MMMod15(II: 335-344).
Springer DOI 1501
BibRef

Moghimi, M.[Mohammad], Kerr, J.[Jacqueline], Johnson, E.[Eileen], Godbole, S.[Suneeta], Belongie, S.J.[Serge J.],
Discriminative Regions: A Substrate for Analyzing Life-Logging Image Sequences,
MMMod15(II: 357-368).
Springer DOI 1501
BibRef

Terziyski, S.[Stefan], Albatal, R.[Rami], Gurrin, C.[Cathal],
Fast Human Activity Recognition in Lifelogging,
MMMod15(II: 369-379).
Springer DOI 1501
BibRef

Li, N.[Na], Crane, M.[Martin], Ruskin, H.J.[Heather J.], Gurrin, C.[Cathal],
Random Matrix Ensembles of Time Correlation Matrices to Analyze Visual Lifelogs,
MMMod14(I: 400-411).
Springer DOI 1405
BibRef

Mahkonen, K.[Katariina], Kämäräinen, J.K.[Joni-Kristian], Virtanen, T.[Tuomas],
Lifelog Scene Change Detection Using Cascades of Audio and Video Detectors,
IMEV14(434-444).
Springer DOI 1504
BibRef

Wannous, H.[Hazem], Dovgalecs, V.[Vladislavs], Mégret, R.[Rémi], Daoudi, M.[Mohamed],
Place Recognition via 3D Modeling for Personal Activity Lifelog Using Wearable Camera,
MMMod12(244-254).
Springer DOI 1201
BibRef

Cheng, Z.W.[Zhong-Wei], Qin, L.[Lei], Ye, Y.T.[Yi-Tuo], Huang, Q.M.[Qing-Ming], Tian, Q.[Qi],
Human Daily Action Analysis with Multi-view and Color-Depth Data,
CDC4CV12(II: 52-61).
Springer DOI 1210
BibRef

Caprani, N.[Niamh], O'Connor, N.E.[Noel E.], Gurrin, C.[Cathal],
Considerations for a touchscreen visual lifelog,
ICMR11(67).
DOI Link 1301
BibRef

Uddin, M.Z.[Mohammad Zia], Byun, K.M.[Kyung Min], Cho, M.H.[Min Hyoung], Lee, S.Y.[Soo Yeol], Khang, G.[Gon], Kim, T.S.[Tae-Seong],
A Spanning Tree-Based Human Activity Prediction System Using Life Logs from Depth Silhouette-Based Human Activity Recognition,
CAIP11(I: 302-309).
Springer DOI 1109
BibRef

Ni, B.B.[Bing-Bing], Wang, G.[Gang], Moulin, P.[Pierre],
RGBD-HuDaAct: A color-depth video database for human daily activity recognition,
ConDepth11(1147-1153).
IEEE DOI 1201
BibRef

Doherty, A.R.[Aiden R.], Byrne, D.[Daragh], Smeaton, A.F.[Alan F.], Jones, G.J.F.[Gareth J.F.], Hughes, M.[Mark],
Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs,
CIVR08(259-268). 0807
BibRef

Azuma, H.[Haruka], Yasuhiro, M.[Mukaigawa], Yasushi, Y.[Yagi],
Spatio-Temporal Lifelog Using a Wearable Compound Omnidirectional Sensor,
OMNIVIS08(xx-yy). 0810
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Intruders, Intrusions, Intrusion Detection, Threats .


Last update:Mar 16, 2024 at 20:36:19