{"_buckets": {"deposit": "c8ebee80-9d47-4935-9687-2ff8c046934c"}, "_deposit": {"created_by": 45, "id": "5866", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "email": "dimennyaung@uit.edu.mm", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5866"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5866"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A More Reliable Step Counter using Built-in Accelerometer in Smartphone", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Step counter, being an active area of human daily physical activity, is an\nessential role in human activity determination research. As the current\nsmartphones come with many different sensors and powerful processing\ncapabilities, the step counting using built-in sensors in a smartphone is\nincreasingly becoming a vital factor among many researchers. However, the\nstep counting with a smartphone has still challenging due to many different\nwalking behaviors and mobile phone positions. In this study, we introduce a\nmore reliable step counter\u201fs technique using Accelerometer sensor in a smart\nphone. The objective of this study is to get the accurate steps of three\ndifferent walking activities in four different mobile positions. In order to\nachieve this, a new reliable technique based on peak is attracting\nconsiderable in our work using average acceleration. The experimental result\nshows 99.02% as an overall step counting performance that the proposed\nmethod reliably detects the steps under varying walking speed in different\ndevices modes. This result is encouraging to facilitate among of the complex\nwalking activities using built-in sensors in smartphone."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Step counter"}, {"interim": "Accelerometer"}, {"interim": "Sensor"}, {"interim": "Smartphone"}, {"interim": "Mobile phone"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_no", "licensefree": "Copyright \u00a9 2018 Institute of Advanced Engineering and Science.", "licensetype": "license_free"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_journal_title": "Indonesian Journal of Electrical Engineering and Computer Science", "subitem_pages": "775-782", "subitem_volume": "Vol. 12, No. 2"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Win Win Myo"}, {"subitem_authors_fullname": "Wiphada Wettayaprasit"}, {"subitem_authors_fullname": "Pattara Aiyarak"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Journal article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2018-11-01"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "10.11591/ijeecs.v12.i2.pp775-782"}, "item_title": "A More Reliable Step Counter using Built-in Accelerometer in Smartphone", "item_type_id": "21", "owner": "45", "path": ["1582963342780/1596102427017"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005866", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-10-26"}, "publish_date": "2020-10-26", "publish_status": "0", "recid": "5866", "relation": {}, "relation_version_is_last": true, "title": ["A More Reliable Step Counter using Built-in Accelerometer in Smartphone"], "weko_shared_id": -1}