Datasets:

MadNad
/

Real-Time-Gesture-Control-System-for-Precision-Control

Languages:

English

Tags:

gestures

classification

robotics

License:

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xet

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Dataset Preview

Subset (2)

fft

Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 20 new columns ({'31', '57', '62', '125', '28', '195', '43', '28.1', '87', '581', '63', '185', '14723', '277', '13970', '8247', '6801', '32', '19639', '164'}) and 20 missing columns ({'11656', '51', '37', '11022', '160', '46', '76', '67', '530', '34', '108', '15980', '121', '16421', '34.1', '54', '60', '8084', '42', '295'}).

This happened while the csv dataset builder was generating data using

hf://datasets/MadNad/Real-Time-Gesture-Control-System-for-Precision-Control/dynamic_gestures/session-02_01_25/gabriel/fft/fft_gabriel_down.csv (at revision d92b6864f535aac18f20d242998c441dd8356f7d)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              6801: int64
              125: int64
              62: int64
              63: int64
              8247: int64
              57: int64
              31: int64
              32: int64
              13970: int64
              277: int64
              185: int64
              28: int64
              19639: int64
              28.1: int64
              87: int64
              43: int64
              14723: int64
              581: int64
              195: int64
              164: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2325
              to
              {'15980': Value(dtype='int64', id=None), '76': Value(dtype='int64', id=None), '60': Value(dtype='int64', id=None), '54': Value(dtype='int64', id=None), '11022': Value(dtype='int64', id=None), '160': Value(dtype='int64', id=None), '46': Value(dtype='int64', id=None), '34': Value(dtype='int64', id=None), '8084': Value(dtype='int64', id=None), '530': Value(dtype='int64', id=None), '121': Value(dtype='int64', id=None), '67': Value(dtype='int64', id=None), '11656': Value(dtype='int64', id=None), '42': Value(dtype='int64', id=None), '108': Value(dtype='int64', id=None), '37': Value(dtype='int64', id=None), '16421': Value(dtype='int64', id=None), '295': Value(dtype='int64', id=None), '34.1': Value(dtype='int64', id=None), '51': Value(dtype='int64', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 20 new columns ({'31', '57', '62', '125', '28', '195', '43', '28.1', '87', '581', '63', '185', '14723', '277', '13970', '8247', '6801', '32', '19639', '164'}) and 20 missing columns ({'11656', '51', '37', '11022', '160', '46', '76', '67', '530', '34', '108', '15980', '121', '16421', '34.1', '54', '60', '8084', '42', '295'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/MadNad/Real-Time-Gesture-Control-System-for-Precision-Control/dynamic_gestures/session-02_01_25/gabriel/fft/fft_gabriel_down.csv (at revision d92b6864f535aac18f20d242998c441dd8356f7d)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

15980 int64	76 int64	60 int64	54 int64	11022 int64	160 int64	46 int64	34 int64	8084 int64	530 int64	121 int64	67 int64	11656 int64	42 int64	108 int64	37 int64	16421 int64	295 int64	34.1 int64	51 int64
15,126	80	74	19	11,022	160	46	34	8,084	530	121	67	12,757	97	111	45	15,809	136	33	12
15,126	80	74	19	9,618	71	84	25	8,084	530	121	67	12,757	97	111	45	15,809	136	33	12
15,126	80	74	19	9,618	71	84	25	8,214	544	162	78	12,757	97	111	45	15,809	136	33	12
15,126	80	74	19	9,618	71	84	25	8,214	544	162	78	13,870	131	167	118	15,809	136	33	12
15,126	80	74	19	9,618	71	84	25	8,214	544	162	78	13,870	131	167	118	15,341	145	11	11
13,822	100	26	18	9,618	71	84	25	8,214	544	162	78	13,870	131	167	118	15,341	145	11	11
13,822	100	26	18	8,827	45	63	21	8,214	544	162	78	13,870	131	167	118	15,341	145	11	11
13,822	100	26	18	8,827	45	63	21	7,760	426	108	21	13,870	131	167	118	15,341	145	11	11
13,822	100	26	18	8,827	45	63	21	7,760	426	108	21	14,875	195	155	71	15,341	145	11	11
13,822	100	26	18	8,827	45	63	21	7,760	426	108	21	14,875	195	155	71	14,246	194	78	62
12,861	150	10	56	8,827	45	63	21	7,760	426	108	21	14,875	195	155	71	14,246	194	78	62
12,861	150	10	56	8,150	108	24	4	7,760	426	108	21	14,875	195	155	71	14,246	194	78	62
12,861	150	10	56	8,150	108	24	4	7,760	426	108	21	14,875	195	155	71	13,358	273	52	75
12,394	81	24	51	8,150	108	24	4	7,760	426	108	21	14,875	195	155	71	13,358	273	52	75
12,394	81	24	51	7,623	52	25	21	7,760	426	108	21	14,875	195	155	71	13,358	273	52	75
12,394	81	24	51	7,623	52	25	21	8,028	365	208	74	14,875	195	155	71	13,358	273	52	75
12,394	81	24	51	7,623	52	25	21	8,028	365	208	74	16,493	254	66	42	13,358	273	52	75
12,394	81	24	51	7,623	52	25	21	8,028	365	208	74	16,493	254	66	42	12,137	263	97	81
11,621	116	68	50	7,623	52	25	21	8,028	365	208	74	16,493	254	66	42	12,137	263	97	81
11,621	116	68	50	7,149	86	34	11	8,028	365	208	74	16,493	254	66	42	12,137	263	97	81
11,621	116	68	50	7,149	86	34	11	8,516	408	321	147	16,493	254	66	42	12,137	263	97	81
11,621	116	68	50	7,149	86	34	11	8,516	408	321	147	17,294	158	89	15	12,137	263	97	81
11,621	116	68	50	7,149	86	34	11	8,516	408	321	147	17,294	158	89	15	11,370	98	91	37
10,814	93	77	44	7,149	86	34	11	8,516	408	321	147	17,294	158	89	15	11,370	98	91	37
10,814	93	77	44	7,099	51	19	10	8,516	408	321	147	17,294	158	89	15	11,370	98	91	37
10,814	93	77	44	7,099	51	19	10	8,823	338	225	130	17,294	158	89	15	11,370	98	91	37
10,814	93	77	44	7,099	51	19	10	8,823	338	225	130	17,871	132	66	19	11,370	98	91	37
10,814	93	77	44	7,099	51	19	10	8,823	338	225	130	17,871	132	66	19	11,062	395	48	25
10,116	82	37	55	7,099	51	19	10	8,823	338	225	130	17,871	132	66	19	11,062	395	48	25
10,116	82	37	55	7,343	89	56	5	8,823	338	225	130	17,871	132	66	19	11,062	395	48	25
10,116	82	37	55	7,343	89	56	5	9,627	139	255	283	17,871	132	66	19	11,062	395	48	25
10,116	82	37	55	7,343	89	56	5	9,627	139	255	283	18,263	122	88	58	11,062	395	48	25
10,116	82	37	55	7,343	89	56	5	9,627	139	255	283	18,263	122	88	58	9,618	37	8	11
9,504	96	11	29	7,343	89	56	5	9,627	139	255	283	18,263	122	88	58	9,618	37	8	11
9,504	96	11	29	7,642	58	44	27	9,627	139	255	283	18,263	122	88	58	9,618	37	8	11
9,504	96	11	29	7,642	58	44	27	10,176	152	123	55	18,263	122	88	58	9,618	37	8	11
9,504	96	11	29	7,642	58	44	27	10,176	152	123	55	18,340	163	62	31	9,618	37	8	11
9,504	96	11	29	7,642	58	44	27	10,176	152	123	55	18,340	163	62	31	8,960	88	26	21
9,141	74	27	31	7,642	58	44	27	10,176	152	123	55	18,340	163	62	31	8,960	88	26	21
9,141	74	27	31	8,565	12	37	14	10,176	152	123	55	18,340	163	62	31	8,960	88	26	21
9,141	74	27	31	8,565	12	37	14	11,257	94	125	91	18,340	163	62	31	8,960	88	26	21
9,141	74	27	31	8,565	12	37	14	11,257	94	125	91	18,269	142	53	57	8,960	88	26	21
9,141	74	27	31	8,565	12	37	14	11,257	94	125	91	18,269	142	53	57	8,542	92	79	34
8,984	54	13	41	8,565	12	37	14	11,257	94	125	91	18,269	142	53	57	8,542	92	79	34
8,984	54	13	41	9,332	49	16	29	11,257	94	125	91	18,269	142	53	57	8,542	92	79	34
8,984	54	13	41	9,332	49	16	29	12,179	69	148	48	18,269	142	53	57	8,542	92	79	34
8,984	54	13	41	9,332	49	16	29	12,179	69	148	48	18,031	99	105	52	8,542	92	79	34
8,984	54	13	41	9,332	49	16	29	12,179	69	148	48	18,031	99	105	52	7,773	148	87	60
8,798	8	18	11	9,332	49	16	29	12,179	69	148	48	18,031	99	105	52	7,773	148	87	60
8,798	8	18	11	10,382	38	43	15	12,179	69	148	48	18,031	99	105	52	7,773	148	87	60
8,798	8	18	11	10,382	38	43	15	13,394	145	154	66	18,031	99	105	52	7,773	148	87	60
8,798	8	18	11	10,382	38	43	15	13,394	145	154	66	17,469	109	5	52	7,773	148	87	60
8,798	8	18	11	10,382	38	43	15	13,394	145	154	66	17,469	109	5	52	8,081	285	104	78
8,879	52	30	12	10,382	38	43	15	13,394	145	154	66	17,469	109	5	52	8,081	285	104	78
8,879	52	30	12	11,543	105	21	11	13,394	145	154	66	17,469	109	5	52	8,081	285	104	78
8,879	52	30	12	11,543	105	21	11	14,660	335	88	64	17,469	109	5	52	8,081	285	104	78
8,879	52	30	12	11,543	105	21	11	14,660	335	88	64	16,756	128	24	5	8,081	285	104	78
8,879	52	30	12	11,543	105	21	11	14,660	335	88	64	16,756	128	24	5	8,200	221	24	45
9,381	48	15	8	11,543	105	21	11	14,660	335	88	64	16,756	128	24	5	8,200	221	24	45
9,381	48	15	8	12,854	61	15	29	14,660	335	88	64	16,756	128	24	5	8,200	221	24	45
9,381	48	15	8	12,854	61	15	29	15,253	372	131	51	16,756	128	24	5	8,200	221	24	45
9,381	48	15	8	12,854	61	15	29	15,253	372	131	51	15,752	149	55	36	8,200	221	24	45
9,381	48	15	8	12,854	61	15	29	15,253	372	131	51	15,752	149	55	36	8,624	406	36	29
9,847	97	64	49	12,854	61	15	29	15,253	372	131	51	15,752	149	55	36	8,624	406	36	29
9,847	97	64	49	13,961	84	43	43	15,253	372	131	51	15,752	149	55	36	8,624	406	36	29
9,847	97	64	49	13,961	84	43	43	16,399	369	188	36	15,752	149	55	36	8,624	406	36	29
9,847	97	64	49	13,961	84	43	43	16,399	369	188	36	14,495	114	59	29	8,624	406	36	29
9,847	97	64	49	13,961	84	43	43	16,399	369	188	36	14,495	114	59	29	9,678	105	21	11
10,282	58	50	25	13,961	84	43	43	16,399	369	188	36	14,495	114	59	29	9,678	105	21	11
10,282	58	50	25	14,973	130	73	25	16,399	369	188	36	14,495	114	59	29	9,678	105	21	11
10,282	58	50	25	14,973	130	73	25	17,371	361	178	44	14,495	114	59	29	9,678	105	21	11
10,282	58	50	25	14,973	130	73	25	17,371	361	178	44	13,238	129	58	29	9,678	105	21	11
10,282	58	50	25	14,973	130	73	25	17,371	361	178	44	13,238	129	58	29	10,045	85	58	38
11,024	120	92	40	14,973	130	73	25	17,371	361	178	44	13,238	129	58	29	10,045	85	58	38
11,024	120	92	40	16,042	99	86	50	17,371	361	178	44	13,238	129	58	29	10,045	85	58	38
11,024	120	92	40	16,042	99	86	50	18,148	355	95	37	13,238	129	58	29	10,045	85	58	38
11,024	120	92	40	16,042	99	86	50	18,148	355	95	37	12,125	152	41	21	10,045	85	58	38
11,024	120	92	40	16,042	99	86	50	18,148	355	95	37	12,125	152	41	21	11,346	87	23	14
11,941	133	34	20	16,042	99	86	50	18,148	355	95	37	12,125	152	41	21	11,346	87	23	14
11,941	133	34	20	16,845	22	81	47	18,148	355	95	37	12,125	152	41	21	11,346	87	23	14
11,941	133	34	20	16,845	22	81	47	18,270	400	230	17	12,125	152	41	21	11,346	87	23	14
11,941	133	34	20	16,845	22	81	47	18,270	400	230	17	10,777	209	68	29	11,346	87	23	14
11,941	133	34	20	16,845	22	81	47	18,270	400	230	17	10,777	209	68	29	12,349	258	106	35
12,785	81	30	34	16,845	22	81	47	18,270	400	230	17	10,777	209	68	29	12,349	258	106	35
12,785	81	30	34	17,522	88	27	33	18,270	400	230	17	10,777	209	68	29	12,349	258	106	35
12,785	81	30	34	17,522	88	27	33	18,501	292	135	55	10,777	209	68	29	12,349	258	106	35
12,785	81	30	34	17,522	88	27	33	18,501	292	135	55	9,621	120	63	12	12,349	258	106	35
12,785	81	30	34	17,522	88	27	33	18,501	292	135	55	9,621	120	63	12	13,281	175	50	44
13,682	56	72	51	17,522	88	27	33	18,501	292	135	55	9,621	120	63	12	13,281	175	50	44
13,682	56	72	51	18,264	47	4	16	18,501	292	135	55	9,621	120	63	12	13,281	175	50	44
13,682	56	72	51	18,264	47	4	16	18,469	321	233	41	9,621	120	63	12	13,281	175	50	44
13,682	56	72	51	18,264	47	4	16	18,469	321	233	41	8,505	216	89	16	13,281	175	50	44
13,682	56	72	51	18,264	47	4	16	18,469	321	233	41	8,505	216	89	16	14,753	88	71	21
14,459	16	51	22	18,264	47	4	16	18,469	321	233	41	8,505	216	89	16	14,753	88	71	21
14,459	16	51	22	18,556	97	14	17	18,469	321	233	41	8,505	216	89	16	14,753	88	71	21
14,459	16	51	22	18,556	97	14	17	17,797	324	286	137	8,505	216	89	16	14,753	88	71	21
14,459	16	51	22	18,556	97	14	17	17,797	324	286	137	7,461	196	69	45	14,753	88	71	21
14,459	16	51	22	18,556	97	14	17	17,797	324	286	137	7,461	196	69	45	15,174	76	52	42
15,328	19	71	43	18,556	97	14	17	17,797	324	286	137	7,461	196	69	45	15,174	76	52	42
15,328	19	71	43	18,530	50	30	6	17,797	324	286	137	7,461	196	69	45	15,174	76	52	42

End of preview.

Real Time Gesture Recognition Dataset

This repository contains the dataset for the Real-Time-Gesture-Control-System-for-Precision-Control project that focuses on the development of a real-time gesture control system using the uMyo EMG sensors.

Description

The dataset is divided into two folders: dynamic_gestures and static_gestures. The first contains loosely-timed sessions of gesture recordings where the gesture is repeated several times between intervals of rest. The second contains a single recording of each gesture, where the gesture is held for a few seconds. The gestures are: baseline, fist, up, down, peace, and lift. New gesture recordings and more gestures will be uploaded soon. Every subject has two types of recordings: the raw EMG data in the raw folder and the FFT data in the fft folder. Each individual recording is a CSV file dedicated to a single gesture performed by a subject.

Structure

dynamic_gestures
├── session-DD_MM_YY
│   ├── subject1
│   │   ├── fft
│   │   │   ├── fft_subject1_baseline.csv
│   │   │   ├── fft_subject1_fist.csv
│   │   │   ├── fft_subject1_up.csv
│   │   │   ├── ...
│   │   ├── raw
│   │   │   ├── subject1_baseline.csv
│   │   │   ├── subject1_fist.csv
│   │   │   ├── subject1_up.csv
│   │   │   ├── ...
│   ├── subject2
│   └── ...
├── session-DD_MM_YY
└── ...
static_gestures
├── session-DD_MM_YY
│   ├── subject1
│   │   ├── fft
│   │   │   ├── fft_subject1_baseline.csv
│   │   │   ├── fft_subject1_fist.csv
│   │   │   ├── fft_subject1_up.csv
│   │   │   ├── ...
│   │   ├── raw
│   │   │   ├── subject1_baseline.csv
│   │   │   ├── subject1_fist.csv
│   │   │   ├── subject1_up.csv
│   │   │   ├── ...
│   ├── subject2
│   └── ...
├── session-DD_MM_YY
└── ...

Raw EMG Data

The raw EMG data is a header-less CSV file with the columns containing 8 successive EMG readings from the corresponding sensor:

      [sensor 1]  [sensor 2]  [sensor 3]  [sensor 4]  [sensor 5]
[0]:  [8 readings][8 readings][8 readings][8 readings][8 readings]
[1]:  [8 readings][8 readings][8 readings][8 readings][8 readings]
[2]:  [8 readings][8 readings][8 readings][8 readings][8 readings]
[3]:  [8 readings][8 readings][8 readings][8 readings][8 readings]
...

Each row can be treated as a single 5-dimensional data unit in time.

FFT EMG Data

The FFT EMG data is a header-less CSV file with the columns containing 4 FFT bins with ~143 Hz resolution from the corresponding sensor:

      [sensor 1] [sensor 2] [sensor 3] [sensor 4] [sensor 5]
[0]:  [4 bins]   [4 bins]   [4 bins]   [4 bins]   [4 bins]
[1]:  [4 bins]   [4 bins]   [4 bins]   [4 bins]   [4 bins]
[2]:  [4 bins]   [4 bins]   [4 bins]   [4 bins]   [4 bins]
[3]:  [4 bins]   [4 bins]   [4 bins]   [4 bins]   [4 bins]
...

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Real Time Gesture Recognition Dataset

Description

Structure

Contents

Raw EMG Data

FFT EMG Data